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Archive for the ‘LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management’ Category


Survival Calls during Careers in the Digital Age

Curator: Aviva Lev-Ari, PhD, RN

 

As I shared with my friend, Aviva Brecher, MIT’68, an article that featured my career in May 2018 in the Alumni Spotlight of the Hebrew University,

My friend wrote the following:

From: Aviva Brecher
Date: Tuesday, May 8, 2018 at 9:40 AM
To: Aviva Lev-Ari
Subject: Re: Article about Aviva Lev-Ari ­in Spotlight of American Friends of the Hebrew University

Aviva:

You have an impressive education and career track with major reorientations. I too have reoriented and “reinvented” my career within the Applied Physics realm: from solid state physics and magnetism, to Lunar and Planetary Science and meteoritics in the Apollo age, to Earth Sciences and to applied topics like nuclear waste isolation and their advanced transportation technologies and environmental impacts.

 

I was very intrigued to further elucidate what actually are the Survival Calls during Careers in the Digital Age. That exploration was inspired by an additional new direction added to MIT Tech Review called: Clocking In, A daily look at the workplace of the future. 

In their 2/21/2018 article The fastest transition humankind has experienced” 

The reader is welcome to their annual list of the 10 technology advances they think will shape the way we work and live now and for years to come.

  • Genetic Fortune-Telling

We spotted Genomics technology and published a book about it

  • VOLUME 1: Genomics Orientations for Personalized Medicine. On Amazon.com since 11/23/2015

http://www.amazon.com/dp/B018DHBUO6

 

In Clocking In article on 3/9/2018 Robert Rubin is interviewed on How to prepare for the future of workHe runs the Hamilton Project, a DC-based think tank.

Rubin: McKinsey Global Institute put out a report recently in which they projected roughly one-third of American workers might have to change jobs or vacate the jobs they have by 2030. They also said that they thought that there would be opportunity for all kinds of increased employment in existing areas—like education, management, and technology—that will need more people. But, you need a lot of public policy to support that transition.

 

Labor Productivity and Automation

Autor, David, and Anna Salomons. 2018. “Is automation labor-displacing? Productivity growth, employment, and the labor share.” BPEA Conference Draft, Spring.

https://www.brookings.edu/bpea-articles/is-automation-labor-displacing-productivity-growth-employment-and-the-labor-share/

 

Technology Pipeline and Gender

  • The US tech talent pipeline shows promising signs for a more gender diverse future. (TR)
  • Women do hold the majority of STEM jobs—in Iran. (Quartz)

 

Clocking In, in their article on 6/7/2018, How we measure the gig economy matters

The Aspen Institute has put together its own data repository on gig work, and found that roughly 30 percent of the US workforce depends on the gig economy in some form.

The Bureau of Labor Statistics released its long-awaited 2017 Contingent Worker Supplement this morning—a huge event for us data nerds!—giving us a “current” (the data is from May 2017) view of gig work in the US. But there are a few problems with the findings.

Why it matters: Had the BLS report found a large jump in nontraditional workers, it might have caught the eye of Congress and motivated lawmakers to pass legislation that to protect and support gig economy workers (emphasis on the “might,” but still). Instead the report could be used to argue the gig economy isn’t as big or important as it’s cracked up to be.

 

We foresee the future to have major opportunities in the Expert Consultancy private sector. By 2030 freelance consultants with very deep expertise will hold the knowledge that corporations need for in-house technology development. It will bring a golden age to a new breed of PhD level experts foot loose providing services to multiple employers. It is a version of the gig economy at the highest pay rate per hour.

 

With generous funding and top-tier jobs, China seeks to lure science talent from abroad

http://www.sciencemag.org/news/2018/06/generous-funding-and-top-tier-jobs-china-seeks-lure-science-talent-abroad

 

We foresee the future of Markets experiencing brain drain and other Markets experiencing brain influx. The knowledge worker will trade his skills on a global scale and will be geographically, foot loose.

The knowledge worker will be subjected to unique survival calls, will have multiple careers in a life time and will re-invent their avocation and the skill offering per an unprecedented fast pace of structural changes in the economy and fluctuation in demand for ever newly minted talent.

  • While “Agility” was the pace of the 90s,
  • the 2020s will be the decade of “re-orientation driven by technological innovation of Artificial intelligence embedded in tools performing tasks by automation and a new era for robotics empowered by rule-based decision support software, actually, autonomous decision making, remotely supervised. 

 

In that light, I submitted a story pitch to Clocking In:

From: MIT Technology Review <pitches-and-tips@technologyreview.com

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>
Date: 
Wednesday, June 13, 2018 at 3:37 PM

Subject: Re: It is a Case Study for Clocking In about Survival Calls during Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL

We have received your news tip or story pitch. Thank you!

Our editors review every item submitted, and we’ll be in touch if we’d like to pursue your submission or learn more. 

Thanks for your interest in MIT Technology Review.

 

Supporting material to the story pitch include the following:

 

  • Thriving at the Survival Calls during Careers in the Digital Age – An AGE like Other, also known as, DIGITAL

https://pharmaceuticalintelligence.com/2018/06/11/thriving-at-the-survival-calls-during-careers-in-the-digital-age-an-age-like-no-other-also-known-as-digital/

 

  • Reflections on a Four-phase Career: Aviva Lev-Ari, PhD, RN, March 2018

https://pharmaceuticalintelligence.com/2018/03/06/reflections-on-a-four-phase-career-aviva-lev-ari-phd-rn-march-2018/

 

  • Pioneering implementations of analytics to business decision making: contributions to domain knowledge conceptualization, research design, methodology development, data modeling and statistical data analysis: Aviva Lev-Ari, UCB, PhD’83; HUJI MA’76

https://pharmaceuticalintelligence.com/2018/05/28/pioneering-implementations-of-analytics-to-business-decision-making-contributions-to-domain-knowledge-conceptualization-research-design-methodology-development-data-modeling-and-statistical-data-a/

 

  • Recollections: Part 2 – “While Rolling” is preceded by “While Enrolling” Autobiographical Alumna Recollections of Berkeley – Aviva Lev-Ari, PhD’83

https://pharmaceuticalintelligence.com/2018/05/24/recollections-part-2-while-rolling-is-preceded-by-while-enrolling-autobiographical-alumna-recollections-of-berkeley-aviva-lev-ari-phd83/

 

  • Professional Self Re-Invention: From Academia to Industry – Opportunities for PhDs in the Business Sector of the Economy

https://pharmaceuticalintelligence.com/2018/05/22/professional-self-re-invention-from-academia-to-industry-opportunities-for-phds-in-the-business-sector-of-the-economy/

 

  • Key Opinion Leader (KOL) in Pharmaceutical Business Intelligence – Aviva Lev-Ari, PhD, RN, as evidenced by

https://pharmaceuticalintelligence.com/2016/07/21/key-opinion-leader-kol-aviva-lev-ari-phd-rn-as-evidenced-by/

 

  • Data Science is the Greatest Science! It is the Greatest Science for Women, as well

https://pharmaceuticalintelligence.com/2018/03/12/data-science-is-the-greatest-science-it-is-the-greatest-science-for-women-as-well/

 

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Thriving at the Survival Calls during Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL

Author and Curator: Aviva Lev-Ari, PhD, RN

 

The source for the inspiration to write this curation is described in

Survival Calls during Careers in the Digital Age

https://pharmaceuticalintelligence.com/2018/06/13/survival-calls-during-careers-in-the-digital-age/

 

In this curation, I present the following concepts in three parts:

  1. Part 1: Authenticity of Careers in the Digital Age: In Focus, the BioTechnology Sector
  2. Part 2: Top 10 books to help you survive the Digital Age

  3. Part 3: A case study on Thriving at the Survival Calls during Careers in the Digital Age: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76 

 

Part 1: Authenticity of Careers in the Digital Age: 

In Focus, the BioTechnology Sector

 

Lisa LaMotta, Senior Editor, BioPharma Dive wrote in Conference edition | June 11, 2018

Unlike that little cancer conference in Chicago last week, the BIO International convention is not about data, but about the people who make up the biopharma industry.

The meeting brings together scientists, board members, business development heads and salespeople, from the smallest virtual biotechs to the largest of pharmas. It allows executives at fledgling biotechs to sit at the same tables as major decision-makers in the industry — even if it does look a little bit like speed dating.

But it’s not just a partnering meeting.

This year’s BIO also sought to shine a light on pressing issues facing the industry. Among those tackled included elevating the discussion on gender diversity and how to bring more women to the board level; raising awareness around suicide and the need for more mental health treatments; giving a voice to patient advocacy groups; and highlighting the need for access to treatments in developing nations.

Four days of meetings and panel discussions are unlikely to move the needle for many of these challenges, but debate can be the first step toward progress.

I attended the meetings on June 4,5,6, 2018 and covered in Real Time the sessions I attended. On the link below, Tweets, Re-Tweets and Likes mirrors the feelings and the opinions of the attendees as expressed in real time using the Twitter.com platform. This BioTechnology events manifested the AUTHENTICITY of Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL.

The entire event is covered on twitter.com by the following hash tag and two handles:

 

I covered the events on two tracks via two Twitter handles, each handle has its own followers:

The official LPBI Group Twitter.com account

The Aviva Lev-Ari, PhD, RN Twitter.com account

Track A:

  • Original Tweets by @Pharma_BI and by @AVIVA1950 for #BIO2018 @IAmBiotech @BIOConvention – BIO 2018, Boston, June 4-7, 2018, BCEC

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/06/11/original-tweets-by-pharma_bi-and-by-aviva1950-from-bio2018-iambiotech-bioconvention-bio-2018-boston-june-4-7-2018-bcec/

 

  • Reactions to Original Tweets by @Pharma_BI and by @AVIVA1950 from #BIO2018

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/06/12/reactions-to-original-tweets-by-pharma_bi-and-by-aviva1950-from-bio2018/

Track B:

  • Re-Tweets and Likes by @Pharma_BI and by @AVIVA1950 from #BIO2018 @IAmBiotech @BIOConvention – BIO 2018, Boston, June 4-7, 2018, BCEC

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/06/11/re-tweets-and-likes-by-pharma_bi-aviva1950-from-bio2018-iambiotech-bioconvention-bio-2018-boston-june-4-7-2018-bcec/

Part 2: Top 10 books to help you survive the digital age

From Philip K Dick’s obtuse robots to Mark O’Connell’s guide to transhumanism, novelist Julian Gough picks essential reading for a helter skelter world

Here are 10 of the books that did help me [novelist Julian Gough]: they might also help you understand, and survive, our complicated, stressful, digital age.

  1. Marshall McLuhan Unbound by Marshall McLuhan (2005)
    The visionary Canadian media analyst predicted the internet, and coined the phrase the Global Village, in the early 1960s. His dense, complex, intriguing books explore how changes in technology change us. This book presents his most important essays as 20 slim pamphlets in a handsome, profoundly physical, defiantly non-digital slipcase.
  2. Ubik by Philip K Dick (1969)
    Pure pulp SF pleasure; a deep book disguised as a dumb one. Dick shows us, not a dystopia, but a believably shabby, amusingly human future. The everyman hero, Joe Chip, wakes up and argues with his robot toaster, which refuses to toast until he sticks a coin in the slot. Joe can’t do this, because he’s broke. He then has a stand-up row with his robot front door, which won’t open, because he owes it money too … Technology changes: being human, and broke, doesn’t. Warning: Dick wrote Ubik at speed, on speed. But embedded in the pulpy prose are diamonds of imagery that will stay with you for ever.
  3. The Singularity Is Near by Ray Kurzweil (2005)
    This book is what Silicon Valley has instead of a bible. It’s a visionary work that predicts a technological transformation of the world in our lifetime. Kurzweil argues that computer intelligence will soon outperform human thought. We will then encode our minds, upload them, and become one with our technology, achieving the Singularity. At which point, the curve of technological progress starts to go straight up. Ultimately – omnipotent, no longer mortal, no longer flesh – we transform all the matter in the universe into consciousness; into us.
  4. To Be a Machine by Mark O’Connell (2017)
    This response to Kurzweil won this year’s Wellcome prize. It’s a short, punchy tour of transhumanism: the attempt to meld our minds with machines, to transcend biology and escape death. He meets some of the main players, and many on the fringes, and listens to them, quizzically. It is a deliberately, defiantly human book, operating in that very modern zone between sarcasm and irony, where humans thrive and computers crash.
  5. A Visit from the Goon Squad by Jennifer Egan (2011)
    This intricately structured, incredibly clever novel moves from the 60s right through to a future maybe 15 years from now. It steps so lightly into that future you hardly notice the transition. It has sex and drugs and rock’n’roll, solar farms, social media scams and a stunningly moving chapter written as a PowerPoint presentation. It’s a masterpiece. Life will be like this.
  6. What Technology Wants by Kevin Kelly (2010)
    Kelly argues that we scruffy biological humans are no longer driving technological progress. Instead, the technium, “the greater, global, massively interconnected system of technology vibrating around us”, is now driving its own progress, faster and faster, and we are just caught up in its slipstream. As we accelerate down the technological waterslide, there is no stopping now … Kelly’s vision of the future is scary, but it’s fun, and there is still a place for us in it.
  7. The Meme Machine by Susan Blackmore (1999)
    Blackmore expands powerfully and convincingly on Richard Dawkins’s original concept of the meme. She makes a forceful case that technology, religion, fashion, art and even our personalities are made of memes – ideas that replicate, mutate and thus evolve over time. We are their replicators (if you buy my novel, you’ve replicated its memes); but memes drive our behaviour just as we drive theirs. It’s a fascinating book that will flip your world upside down.
  8. Neuromancer by William Gibson (1984)
    In the early 1980s, Gibson watched kids leaning into the screens as they played arcade games. They wanted to be inside the machines, he realised, and they preferred the games to reality. In this novel, Gibson invented the term cyberspace; sparked the cyberpunk movement (to his chagrin); and vividly imagined the jittery, multi-screened, anxious, technological reality that his book would help call into being.
  9. You Are Not a Gadget: A Manifesto by Jaron Lanier (2010)
    Lanier, an intense, brilliant, dreadlocked artist, musician and computer scientist, helped to develop virtual reality. His influential essay Digital Maoism described early the downsides of online collective action. And he is deeply aware that design choices made by (mainly white, young, male) software engineers can shape human behaviour globally. He argues, urgently, that we need to question those choices, now, because once they are locked in, all of humanity must move along those tracks, and we may not like where they take us. Events since 2010 have proved him right. His manifesto is a passionate argument in favour of the individual voice, the individual gesture.
  10. All About Love: New Visions by bell hooks (2000)
    Not, perhaps, an immediately obvious influence on a near-future techno-thriller in which military drones chase a woman and her son through Las Vegas. But hooks’s magnificent exploration and celebration of love, first published 18 years ago, will be far more useful to us, in our alienated digital future, than the 10,000 books of technobabble published this year. All About Love is an intensely practical roadmap, from where we are now to where we could be. When Naomi and Colt find themselves on the run through a militarised American wilderness of spirit, when GPS fails them, bell hooks is their secret guide.

SOURCE

https://www.theguardian.com/books/2018/may/30/top-10-books-to-help-you-survive-the-digital-age?utm_source=esp&utm_medium=Email&utm_campaign=Bookmarks+-+Collections+2017&utm_term=277690&subid=25658468&CMP=bookmarks_collection

Part 3: A case study on Thriving at the Survival Calls during Careers in the Digital Age:  Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76

 

On June 10, 2018

 

Following, is a case study about an alumna of HUJI and UC, Berkeley as an inspirational role model. An alumna’s profile in context of dynamic careers in the digital age. It has great timeliness and relevance to graduate students, PhD level at UC Berkeley and beyond, to all other top tier universities in the US and Europe. As presented in the following curations:

Professional Self Re-Invention: From Academia to Industry – Opportunities for PhDs in the Business Sector of the Economy

https://pharmaceuticalintelligence.com/2018/05/22/professional-self-re-invention-from-academia-to-industry-opportunities-for-phds-in-the-business-sector-of-the-economy/

 

Pioneering implementations of analytics to business decision making: contributions to domain knowledge conceptualization, research design, methodology development, data modeling and statistical data analysis: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76 

https://pharmaceuticalintelligence.com/2018/05/28/pioneering-implementations-of-analytics-to-business-decision-making-contributions-to-domain-knowledge-conceptualization-research-design-methodology-development-data-modeling-and-statistical-data-a/

 

This alumna is Editor-in-Chief of a Journal that has other 173 articles on Scientist: Career Considerations 

https://pharmaceuticalintelligence.com/category/scientist-career-considerations/

 

In a 5/22/2018 article, Ways to Pursue Science Careers in Business After a PhD by Ankita Gurao,

https://bitesizebio.com/38498/ways-to-pursue-the-business-of-science-after-a-ph-d/?utm_source=facebook&utm_medium=social&utm_campaign=SocialWarfare

Unemployment figures of PhDs by field of science are included, Ankita Gurao identifies the following four alternative careers for PhDs in the non-academic world:

  1. Science Writer/Journalist/Communicator
  2. Science Management
  3. Science Administration
  4. Science Entrepreneurship

My career, as presented in Reflections on a Four-phase Career: Aviva Lev-Ari, PhD, RN, March 2018

https://pharmaceuticalintelligence.com/2018/03/06/reflections-on-a-four-phase-career-aviva-lev-ari-phd-rn-march-2018/

has the following phases:

  • Phase 1: Research, 1973 – 1983
  • Phase 2: Corporate Applied Research in the US, 1985 – 2005
  • Phase 3: Career Reinvention in Health Care, 2005 – 2012
  • Phase 4: Electronic Scientific Publishing, 4/2012 to present

These four phases are easily mapped to the four alternative careers for PhDs in the non-academic world. One can draw parallel lines between the four career opportunities A,B,C,D, above, and each one of the four phases in my own career.

Namely, I have identified A,B,C,D as early as 1985, and pursued each of them in several institutional settings, as follows:

A. Science Writer/Journalist/Communicator – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to present 

B. Science Management – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005 and Phase 3: Career Reinvention in Health Care, 2005 – 2012 

C. Science Administration – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005and Phase 4: Electronic Scientific Publishing, 4/2012 to present 

D. Science Entrepreneurship – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to present  

Impressions of My Days at Berkeley in Recollections: Part 1 and 2, below.

  • Recollections: Part 1 – My days at Berkeley, 9/1978 – 12/1983 –About my doctoral advisor, Allan Pred, other professors and other peers

https://pharmaceuticalintelligence.com/2018/03/15/recollections-my-days-at-berkeley-9-1978-12-1983-about-my-doctoral-advisor-allan-pred-other-professors-and-other-peer/

  • Recollections: Part 2 – “While Rolling” is preceded by “While Enrolling” Autobiographical Alumna Recollections of Berkeley – Aviva Lev-Ari, PhD’83

https://pharmaceuticalintelligence.com/2018/05/24/recollections-part-2-while-rolling-is-preceded-by-while-enrolling-autobiographical-alumna-recollections-of-berkeley-aviva-lev-ari-phd83/

The topic of Careers in the Digital Age is closely related to my profile, see chiefly: Four-phase Career, Reflections, Recollections Parts 1 & 2 and information from other biographical sources, below.

Other sources for my biography

 

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Pioneering implementations of analytics to business decision making: contributions to domain knowledge conceptualization, research design, methodology development, data modeling and statistical data analysis: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76

 

Author: Aviva Lev-Ari, PhD, RN 

May 24, 2018

April 12. 2017

 

INTRODUCTION

In 1975, while a Masters student at the Hebrew University in Jerusalem (HUJI), I attended a graduate course, “Methodology Development and Theory Construction in the Social Sciences”. The course was taught by Prof. Louis Guttman. He arrived in Israel in 1948 from Cornell University to establish the measurement concentration in cognitive sciences in the psychology department at HUJI. He established the Applied Research Institute in Social Sciences, where public opinion studies were carried out for fifty years. Dr. Shlomit Levy, a key collaborator of Prof. Guttman, was the teaching assistant for the class. Every Masters student across all the departments of the social sciences faculty, planning to write a Master thesis enrolled in this course, one semester for five hours a week.

It had two major project submissions and two exams. It was considered the most difficult course at HUJI. I got [A minus] and was stimulated and attracted to the course domain for the 25 years that followed.

Following this course, I attended an advanced course by Professor Chaim Adler:

http://taubcenter.org.il/chaim-adler/,

in the Department of Sociology on multivariate analysis, and have used ADDTREE, a software developed by Prof. Amos Tversky and his programmer, a PhD student in the mathematics department at HUJI, Shmuel Sattath, who assisted me with SPSS on my Master thesis data base, which had 200 subjects and 42 variables and was considered a large data set for SPSS in 1975. Mr. Sattath recommended ADDTREE. The programming functions were taken over by Amnon Antebi, who worked with me on MSA, POSA, and ADDTREE, carrying two heavy boxes of computer punched cards for the CDC mainframe computer at the Center for Computation at HUJI. Antebi, as a professional mainframe computer programmer, alone could submit jobs and pick up the printed output, which was placed in bins alphabetically by the last name of the programmer.

Professor Louis Guttman was the developer of the Guttman scale, MDS: MSA, SSA, and POSA, and many other algorithms used originally in psychometrics since 1880. The field is concerned with the objective measurement of skills and knowledge, abilities, attitudes, personality traits, and educational achievement. Assessment tools such as questionnaires, tests, raters’ judgments, and personality tests were constructed and adopted, and these became the foundation of quantitative modeling in the social sciences since the 1930s.

Guttman was a member of the Israel Academy of Sciences and Humanities, a foreign honorary member of the American Academy of Arts and Sciences, and president of the Psychometric Society. In 1956 he was a fellow at the Center for Advanced Study in the Behavioral Sciences; in 1962 he received the Rothschild Prize. The development of scaling theory by Louis Guttman and Clyde Coombs has been recognized by Science as one of 62 major advances in the social sciences in the period 1900-1965.[1] Other awards were:

Guttman died on October 25, 1987, while on sabbatical leave in Minneapolis.

https://wikivividly.com/wiki/Louis_Guttman

 

In this course I learned MDS: MSA, SSA, POSA and to design questionnaires. I designed one for my Masters thesis and applied it to two samples with 100 heads of household in each sample. I applied the Kolmogorov-Smirnov test for a two-sample comparison and applied the ADDTREE clustering algorithm to compare the results of dimensionality reduction of 42 variables by MDS vs ADDTREE, This was the first application of

  • ADDTREE software to consumer preferences
  • MDS to consumer choice under constraints

The thesis grade contributed to the final Master GPA. I was told by the graduate office that my GPA was the highest grade ever awarded for a Masters degree in social sciences at HUJI until 1976.

Of all the courses I took at HUJI during the six years of my enrollment for a BA and an MA – it was Prof. Guttman and Prof. Adler’s courses that set off my career in quantitative methods from the start of the Masters thesis for the next 25 years, performing creative data modeling and analysis as a profession.

While working at SRI, I contacted Yissum, the HUJI’s technology transfer office (TTO) for licensing the MDS software, written by Reuven Amar, at SRI International. We applied MSA and SSA on GM data and in several other studies. This was the second time that I licensed the software from HUJI.

I cherish the correspondence I had with Prof. Louis Guttman following my hiring at SRI International. He was very proud to know that his student was using MSA for General Motors management decision making on selective divestiture of their auto parts division. He knew SRI International, as an R&D institution, very well for its projects in education, biostatistics and genetics (his wife, Prof. Ruth Guttman, was professor of Genetics at Cornell and HUJI.)

I visited him in 1986 in Jerusalem, showing him the computer output of the data from the GM project. Of course, he had important insights into the interpretation of the results. I sent him a copy of a professional movie made on the GM model that I designed. The VCR cassette was returned to me by his daughter in New Jersey following his death, 10/25/1987. He received it at the hospital. He knew about it but was unable to watch the movie, I was told.

The first time I licensed the MDS software from Yissum, was for teaching purposes at UC Berkeley, 1979, 1980, and 1981.

Upon my admission to the PhD Program at UC Berkeley, Prof. Pred arranged for me a teaching assistantship for an upper division course, three semesters in Quantitative Methods. This was the last course before graduation for any concentration in Letters & Sciences. The course was attended by students from geography, political sciences, political economics, economics, archeology, city planning, and botany. Any student that wished to learn about multivariate classification and prediction modeling enrolled.

It was a great privilege to write recommendation letters in February for a student graduating in May 1982. Some told me that “this is the only course that will get me a job.” It turned out that, that was true for myself as well, referring to Prof. Guttman’s course. Following the graduation from the Masters program at HUJI, I was hired at the Technion, IIT, because I mastered non-linear modeling and in particular MDS: MSA, SSA, and POSA.

During my career, I had the opportunity to design numerous one-of-a-kind models which represent pioneering implementations of analytics. A complete list is documented in the sources, below (List of Publications, 1983-2004). The very salient ones that represent milestones in the profession and the first application of these algorithms in these specific domain knowledge, include the following selective list:

 

  • Application of Multidimensional Scaling (MDS) for decomposition of consumer multivariate preference function, Master thesis, HUJI, 1976
  • Application of Multidimensional Scaling (MDS) for classification of urban municipalities in Israel for resource allocation of Ministry of Transportation road safety budget, Technion, TRC, RSC, 1977-1978
  • Multivariate analysis of product portfolios across 27 leading American paper companies for industrial concentration assessment and corporate benchmarking in sector context. PhD dissertation, UC Berkeley, 1983.
  • Application of Multidimensional Scaling (MDS) for SRI International’s clients: Competitive Assessment: Automotive. That contribution is mentioned in the 1987 Annual Report. Technology Assessment: Chemical and Allied Products, Resource Allocation Modeling in Advanced Material, Credit Scoring problem for clients in the Financial Sectors: Banking & Insurance
  • Demand Forecasting Model for Hardware, Amdahl Corporation. This model led to 1989 Employee Award.
  • Design of a Digital Market Place for Analytical Services at Concept Five Technologies, Inc.1996.
  • Design of Analytics suite of services for Digital Marketplaces: lumber, hospital supplies, MRO and consumables, PSC, 2007-2001. This modeling effort led to a distinguish bonus award,1999.
  • Adaptive Testing at McGraw-Hill, 2002, application of inverted simulation annealing algorithm for prediction of maximum functions in achievement scores.

 

HIGHLIGHTS

 

 

APPOINTMENTS – Director level, Advanced Analytics

 

In 25 years of working in corporate America for companies that are #1 in their sector, I received and accepted eleven job offers!

Chiefly,

  • SRI International, Menlo Park, CA – Largest THINK TANK in the US

Title: Director Business & Economic Statistics

  • Amdahl Corporation, Sunnyvale, CA  – 3rd largest mainframe computer company in the world, acquired by Fujitzu

Title: Manager, Demand Forecasting and Modeling

  • Monitor Group, Cambridge, MA – Top Tier Management Consulting, acquired by Deloitte

Title: Senior Methodology Consultant, Financial Sector

  • MITRE, Bedford, MA – largest federally funded R&D corporation and its spin-offs:

Title at MITRE: Head of Research, Economic & Decision Analysis Center

Title at MITRETEKDirector of Analytics

Title at Concept Five Technologies, Inc.: Director, Advanced Information Systems

  • Perot Systems Corporation, Cambridge, MA – Top IT outsourcer, acquired by Dell Computers

Title: Director, Advanced Analytics Digital Marketplaces

  • McGraw-Hill/CTB, Monterey, CA – world’s oldest publisher

Title: Director of Research: Methods and Applications

 

BUILDING PROFESSIONAL EXPERTISE IN APPLICATION of QUANTITATIVE METHODS FOR CORPORATE DECISION MAKING BASED OF DATA SCIENCE

 

A Twenty Five year Career in Data Science

 

Data Science is the Greatest Science! It is the Greatest Science for Women, as well

https://pharmaceuticalintelligence.com/2018/03/12/data-science-is-the-greatest-science-it-is-the-greatest-science-for-women-as-well/

Professional Self Re-Invention: From Academia to Industry – Opportunities for PhDs in the Business Sector of the Economy

https://pharmaceuticalintelligence.com/2018/05/22/professional-self-re-invention-from-academia-to-industry-opportunities-for-phds-in-the-business-sector-of-the-economy/

 

In a 5/22/2018 article, Ways to Pursue Science Careers in Business After a PhD By ankita gurao,

https://bitesizebio.com/38498/ways-to-pursue-the-business-of-science-after-a-ph-d/?utm_source=facebook&utm_medium=social&utm_campaign=SocialWarfare

Unemployment figures of PhDs by field of science are included, Ankita Gurao identifies the following four alternative careers for PhDs in the non-academic world:

A. Science Writer/Journalist/Communicator

B. Science Management

C. Science Administration

D. Science Entrepreneurship

 

My career, as presented in Reflections on a Four-phase Career: Aviva Lev-Ari, PhD, RN, March 2018

https://pharmaceuticalintelligence.com/2018/03/06/reflections-on-a-four-phase-career-aviva-lev-ari-phd-rn-march-2018/

has the following phases:

  • Phase 1: Research, 1973 – 1983
  • Phase 2: Corporate Applied Research in the US, 1985 – 2005
  • Phase 3: Career Reinvention in Health Care, 2005 – 2012
  • Phase 4: Electronic Scientific Publishing, 4/2012 to Present

These four phases are easily mapped to the four alternative careers for PhDs in the non-academic world. One can draw parallels between the four career opportunities A,B,C,D, above, and each one of the four phases in my own career.

Namely, I have identified A,B,C,D as early as 1985, and pursued each of them in several institutional settings, as follows:

A. Science Writer/Journalist/Communicator – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to Present 

B. Science Management – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005 and Phase 3: Career Reinvention in Health Care, 2005 – 2012 

C. Science Administration – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005 and Phase 4: Electronic Scientific Publishing, 4/2012 to Present 

D. Science Entrepreneurship – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to Present

 

SOURCES

List of Publications, 1983 – 2004

https://pharmaceuticalintelligence.com/founder/list-of-publications-1983-2004/

List of Invited Lectures, 1983 -2004

https://pharmaceuticalintelligence.com/founder/list-of-invited-lectures-1983-2004/

 

 

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Recollections: Part 2 – “While Rolling” is preceded by “While Enrolling” Autobiographical Alumna Recollections of Berkeley – Aviva Lev-Ari, PhD’83

On May 24, 2018

Recollections: Part 1 – My days at Berkeley, 9/1978 – 12/1983 –About my doctoral advisor, Allan Pred, other Professors and other Peers

https://pharmaceuticalintelligence.com/2018/03/15/recollections-my-days-at-berkeley-9-1978-12-1983-about-my-doctoral-advisor-allan-pred-other-professors-and-other-peer/

 

Part 2 places an emphasis on my feelings as time had passed by and I was looking back in time.

I describe my eventful five years at Berkeley, 9/1978 – 12/1983, as a walk on a steep uphill trail, simulating a climb on Mount Rainier. Why this mountain?

My arrival to California and enrollment at Berkeley was equivalent to climbing the highest mountain in the PNW. 

My arrival in the San Francisco Bay Area was like approaching a cultural stratovolcano, and the Californian landscape I traversed on my daily rides was like a daily visit to a national park along highway 280 between Palo Alto and San Francisco at 8:30AM and 5:30PM

The Gutenberg Express bus service between Stanford and UC, Berkeley would drop me off at Doe Memorial Library and I would climb the campus path to McCone Hall or to the I-House on Piedmont Avenue.

Some days, I would arrive with BART to Berkeley and use the Bogart Shuttle to the West Gate.

Berkeley Campus Architecture, Image Source: Google Images

At Berkeley I walked uphill from Moffit Hall to Cory Hall when I taught a Quantitative Methods upper division course three trimesters in two academic years. I walked northeast from Giannini Hall to Wurster Hall at the South Gate or from Crescent/Springer Gateway at the West Gate to the Health Services building, which was located where today the Haas School of Business is located on the southeast corner of the campus.  

While the walking paths were the most magnificent arboretum design of any campus in the US and the topography seemed most pleasantly hilly (288 m to 860 m), the elevation felt like “climbing” a prominent mountain, in my mind, Mount Rainier.

Trees of Berkeley. Slide show with photos and identification of several notable trees on campus.

SOURCE: http://guides.lib.berkeley.edu/campus_research/landscape 

 

Like Mount Rainier in my Doctoral Dissertation, filed 12/1983, titled “Corporate Growth and Locational Interdependence: Observations on the Production, Location, Merger Activity and Organizational Structure of American Paper Companies.”

 

Mount Rainier, Image Source: Google Images

 

I researched, the Pacific Northwest timber industry, the hemlock evergreen tree used for its pulpwood by the paper industry, studying its production and location. The world’s leading paper company, International Paper (IP) Co’s timberland holdings in the Mount Rainier region are included in one of the chapters. This material was extracted from IP’s Corporate Annual Reports, 1901-1975, located in the stacks of the Graduate School of Business (GSB) at Stanford University in the summers of 1980 and 1981, when I was in an exchange program between UCB and Stanford’s GSB.

 

As a memorium to my mentors, I describe the interactions and the lasting impact they had on my professional life. It was a way to compose their eulogies as an autobiographical account of professor – graduate student relationships.

 

“While Enrolling”

Public Eulogy of Note: Prof. Allan Pred, University of California, Berkeley

Edit

http://oldweb.geog.berkeley.edu/PeopleHistory/faculty/AllanPred_InMemoriam.html#A%20reflection%20by%20Aviva%20Lev-Ari

January 2007

The sudden and most untimely death of Prof. Allan Pred, my doctoral advisor, 1978-1983, was both an unexpected event and very shocking and unbelievable news to every doctoral student Allan had, to our department, our discipline and academic sciences fields in the US and the world.

A giant of unprecedented proportions is gone. His legacy is eternal.

I was stunned and couldn’t believe the cause of death: lung cancer. Allan never smoked, biked up hill every day six month of every year, was slimmer than most of us, enjoyed lunch more than most of us and was engaged intensely in research and writing a rather solitary activity which caused him much pleasure. This was not a stressful activity since he was a great writer, most prolific, published in quality and quantity unmatched proportions compared to most other faculty at UC Berkeley. Thus he was not under pressure from the administration. He joined UC in 1962 at 26 years old and was tenured before he was 30 years old!! No publisher ever rejected his books or requested fundamental changes to his writings.

We are all mortals. How can anyone predict the risk of dying based on life style? Allan, the healthiest of all, died at the age of 70 (1936-2007) from lung cancer as a non-smoker. For Allan no modification to his activities of daily living was recommended!!

Who was Allan to me since 9/1978 and before? A mentor, a teacher, a friend, a well-wisher, a source of encouragement, a critic, a standard setter, and a source of over thirty years of inspiration which started with reading his Location and Behavior (1967), while I was a Masters student in urban planning at The Hebrew University in Jerusalem, Israel, 1973 – 1976.

During these three years, I was a student of Prof. Barry Kibel, who got his PhD in the City Planning Department at UC Berkeley under Prof. Michael Tietz in Planning and Allan Pred in Geography. Prof. Kibel encouraged me to apply to UC Berkeley and explore working with Allan Pred. Kibel’s recommendation letter was a determining factor in my initial contact with Allan Pred in 1978.

I was very fond of Allan, wrote poetry for him as I corrected the draft of my doctoral thesis because of the intense inspiration he provided and the challenging comments he made on my writings. I knew that nothing but very exceptional would be approved, needless to say signed. Allan’s breath of interests included organizational behavior economics. This enabled me to work on a topic which was very interdisciplinary in nature and to combine location theory with this area in economics, which took off later, in the late 80s and 90s, chiefly through the work of Prof. Paul Krugman, an entire decade after my thesis was completed.

Prior to my graduation from Berkeley, I worked in several academic institutions: at HUJI, as RA and TA, four years. At Technion – IIT, as research associate, two years. At UCB, as TA, two years.

Allan’s guidance during my graduate studies at Berkeley yielded a body of research which facilitated my 20 year career in the “for-profit” sector in key industries such as top tier management consulting (SRI, Int’l), computer hardware and software (Amdahl Corp), federal funded research and development (MITRE) and publishing (McGraw-Hill). Allan’s most impact was on my positions in the top tier management consulting industry: Stanford Research Institute (SRI) Int’l in Menlo Park, and the Monitor Group in Cambridge, MA, to where I moved in 1990. Allan suggested that I inquire about opportunities at Arthur D. Little in Cambridge, MA; he knew all about the management consulting field.

At SRI, my dissertation under Allan Pred was viewed as a readymade body of theory that I could apply to their clients in mature industries requiring new conceptualization for revitalization of otherwise stagnant sectors of the economy. It was in the mid 80’s when the chemical and automotive industries needed a new strategy. My thesis at Berkeley under Allan Pred could provide consulting for SRI clients such as General Motors, DuPont, Alcan, and Phone-Poulenc, as I did till late 1988 when I joined Amdahl Corporation in Sunnyvale, CA.

Without him, I would not have had the confidence to get my first job in the US at the Stanford Research Institute in 1984, where I held the director title at age 35. I knew I had Allan’s blessing and that should I need to build another theoretical model, he would accept my phone call from Menlo Park and continue to instruct me. Without him, I might not have received the three teaching assistantships which covered my tuition as a non-California resident for the first three years at UC Berkeley. Without him, my admission to the University of Chicago (his own alma mater) might not have been transferred or transferable to UC Berkeley.

Allan gave me my first chance in the US, and following graduation from Berkeley, I took off to conduct applied research in corporate America. The twenty years I worked in this field, yielded over sixty technical reports and over 200 invited lectures. Allan knew the details and told me that my career demonstrated the viability of our discipline outside of academe. I had the opportunity to share with him these facts and discuss their impact on corporate decision making.

I met him for the last time in 2000 in San Francisco in the lobby of the Museum Of Modern Art, and we walked together to an exhibition in architecture by the most gifted woman architect in the 20th century, Ms. Zaha Haddid. Having the chance to look at her exhibit in his company and experience many moments when both of us were in awe at her ingenuity made this SF visit the most special afternoon in my entire life. We looked at each other with complete admiration for her accomplishments in computer graphics and concept modeling. He told me, “I planned to go to her exhibit, I am glad, because of you and with you I am here in San Francisco today.” We continued to another exhibit on the upper floor on Wired magazine since its inception. Allan told me that he likes to browse there once in a while, though he does not do it often enough. Having a chance to look together at the first five issues, issued in the early 80s, caused him great joy.

We had an hour of talking over his favorite cappuccino with all the trimmings in the museum cafeteria. He was smiling constantly, asking questions, and continuing professor-graduate student relations as if twenty years had not gone by. We parted with his bear hug and few e-mails since. In May 2002 when I arrived in Monterey, CA, I e-mailed him to say that he is invited to visit. He said, “another time, since I am leaving to Sweden in one week, after I’ll return to Berkeley by mid of August 2002.”

I met Allan at the memorial for Prof. Vance, the centennial to the department, and on a talk I gave at the Haas School of Business in 2001 when he came to listen. In 2002/2003, while living in Monterey on an assignment for McGraw-Hill, I visited the campus and gave a talk at Berkeley’s Center for Globalization and Information Technology, where I meet Dick Walker, who was a discussant, but missed Allan who was on sabbatical.

I planned to share with Allan my new research on biomarkers for cardiovascular disease, in particular a forthcoming paper in American Journal of Cardiovascular Drugs. I waited to have it published to let Allan know. Now it is too late to share.

Allan, was a person who, once you knew, you knew you were not going to ever forget. For myself and his other doctoral students, Allan remains vivid in memory, eternal like the memory of a much loved parent.

Aviva Lev-Ari, PhD ’83

http://oldweb.geog.berkeley.edu/PeopleHistory/faculty/AllanPred_InMemoriam.html#A%20reflection%20by%20Aviva%20Lev-Ari

 

Public Eulogy of Note: Prof. David Hooson, University of California, Berkeley

Edit

http://oldweb.geog.berkeley.edu/PeopleHistory/faculty/HoosonMemorial/DavidHooson_Memories.html

2008

I am very sad to learn about another great loss to humanity, to academia, to UC Berkeley, and to human geography.

David Hooson had probably the greatest generosity of spirit I have encountered in my life.

His courses were a 360 degree vista of human ecology with the finest sensitivity to the human condition paralleled only by that in Bernard Q. Nietschmann’s courses at Berkeley.

David Hooson will always have a special place in my heart for being most kind to me in several critical junctions in my career: (a) the admission to the doctoral program in the department, (b) while I was a doctoral student at UC Berkeley, 1978-1983, as an international student in his courses, in need of TLC while facing the unfamiliar academic landscape at UCB (c) meeting with me when my doctoral advisor, Prof. Allan Pred was on Sabbatical and I was writing my thesis, (d) his warm greetings at the end of the graduation ceremony, 5/1983, when I held my 18 month old son in my arms and he said to me, “Aviva, you are the only PhD we had to have a baby while a doctoral student, and to graduate in five years, while our average used to be 7 1/4 years” (e) a lengthy conversation during an open house weekend in the department in the late 80s, (f) a conversation during the memorial to James E. Vance, Jr., (g) a conversation at a memorial lecture to Professor Carl O. Sauer, and on our last meeting at the centennial celebration of the department.

David Hooson and no other man, has let me feel that he offered his undivided attention to me. In our interactions, he offered as much time it took to complete an intellectual exchange.

To Prof. Hooson’s family, I say that his legacy as a humanist will remain in the minds of all his colleagues and all his students — a touching smile just to comfort the other’s heart. He put so many at peace with themselves.

Aviva Lev-Ari, PhD’83

http://oldweb.geog.berkeley.edu/PeopleHistory/faculty/HoosonMemorial/DavidHooson_Memories.html

 

“While Rolling”

When Prof. Allan Pred was on sabbatical, 1980 – 1983, Prof. Michael Watts served as my acting advisor.

On May 13, 2018, I wrote:

Dear Prof. Watts,

I remember you so very fondly. You put me at ease while the competition among the peers was fierce. I had deficits in English language, American culture, and the Berkeley campus-specific cultural ecology. I had to learn the ropes fast!! [Some I did not get right then, and even today I make some mistakes.]

It was providence that aligned Prof. Allan Pred to hover over my Berkeley existence.

If he were alive, he would have become familiar with my professional activities, after 2007, the 3rd and 4th phases. He praised me for getting the job at SRI International. Prof. Pred had attended two talks I gave at Berkeley over the years, one organized by Prof. Arie Segev at the Haas School of Business, and the second and third talks arranged by Prof. Michel Laguerre at the Center for Globalization and Information Technology. Allan knew that I took the job at McGraw-Hill in Monterey, CA while he was on sabbatical. We even discussed his potential visit to Monterey upon his return from Sweden, August 2002, although the time was left open.

I believe that Professor Pred would have said that a professional is judged by “his or her’s contributions to science, society, making the world a better place for others and the pursuit of happiness.” His work was interdisciplinary in nature, and I have pursued the interface between disciplines since my Masters thesis at the Hebrew University in Jerusalem, 1973-1976. In 25 years of working in corporate America for companies that are #1 in their sector, i.e.: I received and accepted eleven job offers!

Chiefly,

  • SRI International, Menlo Park, CA – Largest THINK TANK in the US [My Title: Director Business & Economic Statistics]
  • Amdahl Corporation, Sunnyvale, CA  – 3rd largest Main Frame Computer company in the World, acquired by Fujitzu [My Title: Manager, Demand Forecasting and Modeling]
  • Monitor Group, Cambridge, MA – Top Tier Management Consulting, acquired by Deloitte [Senior Methodology Consultant, Financial Sector]
  • MITRE, Bedford, MA – Largest Federal Funded R&D Corporation [My Title: Head of Research, Economic & Decision Analysis Center]
  • Perot Systems Corporation, Cambridge, MA – Top IT Outsourcer, acquired by Dell Computers [My Title: Director, Advance Analytics Digital Marketplaces]
  • McGraw-Hill/CTB, Monterey, CA – World Oldest Publisher [My Title: Director of Research: Methods and Applications]

I have used economic geography and industrial organization economics every day — the cognitive skills provided by geography as a discipline have served as the best preparation for applied research in diverse institutions. These employers needed people to be able to think out of the box. I had to devise solutions and present them to management. 

I was reliving Allan Pred’s unique approaches to research and the broad spectrum of topics he has written about, so creatively.

“Data Modeling” is my middle name. I was a geographer, an economist/econometrician, a statistician/research designer. An urban planner/transportation analyst, an organization theorist, a social scientist — a “variant” of Prof. Allan Pred not in academia, but in multiple sectors of the American economy that needed people who used critical thinking processes and methods in formulating original actionable solutions.

It was the confluence of existential forces that assisted my survival while thriving in the non-academic world, where the rules of behavior are less crisp than the determinants for the “pathway to academic tenure.”

 

  • The Mentor

Often musing on Allan Pred’s creativity and confidence, I saw a very slender blue-eyed lion, the king of all mammals, walking in full command of the Berkeley hills or bicycling uphill. Never rushing, running or escaping, it was always full sun, no shadows in sight, the dominion king arrived, The Chairman.

Other Mentors

The three signatures on my doctoral dissertation, are:

 

  • The Institution

The aura of Berkeley as an institution of excellence has been pervasive. No one could pronounce my name. (No hiring manager could go wrong, all reported with assertiveness, “We have hired a Berkeley PhD and an ex-director from SRI”.)

 

  • The Candidate

The unique “born with” a “primordial” endowment that Aviva had demonstrated since the 6th grade in Israel – an ability to produce original syntheses from very complex multi-factor interactions.

For 25 years a quantitative economic geographer in the non-academic world – a top designer of algorithm-based decision support systems (DSS) for operations management problems [N=26 modeling solutions completed by 2004].

I have addressed:

  • a most diverse range of business and organizational problems involving decision-making under uncertainty with complex constraints;
  • in multiple industries: automotive, chemical, advanced materials, paper & allied products, computer hardware, computer software, B-to-B electronic commerce, financial sector, adaptive educational testing, and education publishing;
  • for several functional domains: product planning, marketing and market research, finance, geographic plant and HQs location decisions, and resource allocation for R&D initiatives;
  • in half a dozen theoretical & applied disciplines: operations research, behavioral economics, multivariate non-linear statistics, econometrics, urban geography, and city transportation planning;
  • Listed here is a sample of problems that I solved and/or designed the modeling for, including, technology assessment models, modeling competitiveness, software and intellectual property (IP) pricing models, real-time supply chain planning, new product demand forecasting, and modeling computer hardware obsolescence.

Enjoyed every moment of it and was/am so very proud to have been through the trajectory from University of California, BERKELEY to the non-academic world, for which Berkeley prepared me so well.

 

A related article for review:

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Tweets Impression Analytics, Re-Tweets, Tweets and Likes by @AVIVA1950 and @pharma_BI for 2018 BioIT, Boston, 5/15 – 5/17, 2018

Curator Aviva Lev-Ari, PhD, RN

 

This curation has four parts:

 

Part 1: Re-Tweets by @AVIVA1950 

Part 2: Tweets earned impressions over 5/15 – 5/17/2018 Period – 2018 BioIT, Boston

Part 3: Re-Tweets by @pharma_BI – see complete list on @pharma_BI Twitter.com page

Part 4: Original Tweets by @AVIVA1950 – Real Time Coverage of 2018 BioIT, Boston

 

 

Part 1: Re-Tweets by @AVIVA1950

  1.   Retweeted

    Aviva Lev-Ari Retweeted Stinus Lindgreen

    Aviva Lev-Ari added,

    2.  Retweeted

    Discussing how to build a data science team: Many different skill sets needed. While IT support is required, the data science team is really all about the data

  2.   Retweeted

    Des Higgins: code ClustalW frozen for more than 10 years, but still used… quality

  3.   Retweeted

    Audience Q: When do you think the machines will be routinely making the DX? Boguski: Sooner than you think.

  4.   Retweeted

    Towards Tailor-Made Drugs with AI-Driven Drug Design – Dr. van Daelen of is speaking at now in the amphitheater.

  5.   Retweeted

    BridgeDb poster up at , no 30

  6.   Retweeted

    RT finchtalk: keynote by carlzimmer on genes and heredity. Discusses subtle effects of HGMA2 – sadly no structure yet – on heigh…

  7.   Retweeted

    waiting for you at ! come over to booth 646 to find out why has been nominated !

  8.   Retweeted

    panel describing importance of , not just big data, whole work flow from data creation to insights & decisions

  9.   Retweeted

    Job Board!!! Great new addition

  10.   Retweeted

    we need tech for proteomics that is as good as the tech is for genomics — Lihua Yu

  11.   Retweeted

    carlzimmer is concerned that as we have more access to our genes, we will fall back on old ideas of heredity to understand

  12.   Retweeted

    Diagnostic testing is a key factor for modern-day advanced healthcare. The wall between diagnostic physicians and treating physicians is still a challenge. Dr. Boguski’s keynote

  13.   Retweeted

    Tom Plasterer : offers a nice way to close the RDF open world assumption, which helps to identify if a dataset has achieved full discoverability by hitting a set of given metadata requirements

  14.   Retweeted

    Live from Bio-IT World booth #227: we’re excited to announce that our featured partner this year is . Come chat with us about Vertically Integrated Precision Medicine!

  15.   Retweeted

    L.Omberg of helps us understand how to develop digital biomarkers through crowd sourcing at

  16.   Retweeted

    Great closing session led by our friends and a great panel that agreed that HI will save us all and is the clown car of our industry…

  17.   Retweeted

    Heard at from : is “the clown car of our world these days. … It’s being driven by a bunch of grifters who want to profit off of their magical math tokens.”

  18.   Retweeted

    Boguski: Gathering data frm 350K Thai employees+dependents (genome+microbiome), family & Med history; wearable health monitoring.

  19.   Retweeted

    The Town Hall is coming up later today at . We had some great questions last year – here’s discussing how Scientists and IT both have a responsibility for cloud infrastructure.

  20.   Retweeted

    Data is like art, if you don’t know the provenance the value significantly decreases

  21.   Retweeted

    Screen data from different assay types for more accurate results. at Booth 340

  22.   Retweeted

    Des Higgins , Benjamin Franklin winner celebrates . Integrating data remains our challenge

  23. Aviva Lev-Ari Retweeted Stinus Lindgreen

    Aviva Lev-Ari added,

  24.   Retweeted

    Sitting in one of the last sessions at listening to a talk on RNA. I am being told that mRNAs do no just encode proteins – they form secondary structures. I am shocked. Shocked! Did you know this, ?

  25.   Retweeted

    And that’s a wrap! Thank you for a great conference

  26.   Retweeted

    Andras Volford, is speaking about Project Haystack: universal access to corporate research history

  27.   Retweeted

    . poster up at , no 28

  28.   Retweeted

    Higgins driving home the point that number of citations does not equate to importance. Sometimes inverse!

  29.   Retweeted

    foster an innovative culture — Tanya Cashorali builds a sandbox and encourages data scientist to play

  30.   Retweeted

    Grab your spot! Our last Spotlight presentation of the day will start in less than an hour: A Freeing Approach to Search and Analytics Leads to Faster Drug Discovery

  31.   Retweeted

    Celebration at the booth for Best of Show Judges Award!

  32.   Retweeted

    Getting sequences in 1984: write a letter to GenBank or EMBL and they’d mail you a book! HigginsDes

  33.   Retweeted

    Wonderful historical perspective on open access and data sharing from the legendary Des Higgins, this year’s recipient of the Benjamin Franklin Award.

  34.   Retweeted

    if we’re sharing data, we need to be responsible with how we use it — Jerald Schindler

  35.   Retweeted

    Have I not been paying attention in past years, or is “data hub” a new buzzword at ? Are there others?

  36.   Retweeted

    Next panel question – scientists often “protective” of their data. How to break data silos and encourage a data sharing culture?

  37.   Retweeted

    Roman Affentranger defines “advanced analytics” as “anything goes … so long as it is more than traditional business intelligence”

  38.   Retweeted

    An unwieldy system, and it wasn’t open access. In 1989 Patricia Kahn asked that journals require sequences to be shared pre-pub.

  39. Aviva Lev-Ari Retweeted Cambridge Innovation

    Very important to remind initial step in democratization of Data and milestone . See Open Access online Scientific Journal +5,300 scientific articles in BioMed, 16-Volume BioMed e-Series on Amazon.con

    Aviva Lev-Ari added,

  40.   Retweeted

    Important point being raised by at : We have many patients who willingly and with consent provide us with valuable samples. They expect us to do something with them. We are ethically obliged to use them, not just store and destroy them after X years. Stop waste.

  41.   Retweeted

    Jabe Wilson talks about work by on finding experimental mice housing conditions in the literature

  42.   Retweeted

    I’m pretty sure that was the official name of this award, right ? !

  43.   Retweeted

    it’s not the formula you use, but WHY you used it – Jerald Schindler

  44.   Retweeted

    is concerned that as we have more access to our genes, we will fall back on old ideas of heredity to understand

  45.   Retweeted

    Last keynote by at Fascinating walk through the infancy of genetics.

  46.   Retweeted

    , – The purpose of visualization is insight not pictures.

  47.   Retweeted

    Bryan Takasaki is up next discussing AstraZeneca’s R&D Data Hub — connecting data from multiple silos to enable analytics

  48.   Retweeted

    Excited to announce that the winner of our complimentary whiteboard consulting engagement is Optum Genomics! Congratulations and we’ll be in touch with more information.

  49.   Retweeted

    is coming to an end. The last speaker showed a great quote from |s Baldoni about the need for all of us to share data: There is so much data out there on failed experiments, on molecules, that we are obliged to share – avoid unnecessary trials and tests on patients.

  50.   Retweeted

    Ending the day with a co-presentation by Krista McKee, and Raveen Sharma, on leveraging an R&D data hub platform for next generation of clinical data review

  51.   Retweeted

    Attending ? Don’t miss the Plenary Panel on Wednesday 5/16. Alongside a great team of speakers, TCB’s will cover applications of data science, implementation best practices, and industry predictions.

  52. Aviva Lev-Ari Retweeted TCB Analytics

    Amazing event by was amazing two, 16 tracks, great talks, community

    Aviva Lev-Ari added,

  53.   Retweeted

    Best of show at ? member ! Congratulations!!

  54.   Retweeted

    Well deserved! Desmond Higgins, father of CLUSTAL and T-COFFEE, receives the Benjamin Franklin Award at

  55.   Retweeted

    Our Microglia and Neuron describing how to manage our lifestyle on molecular basis have just won the CHI Poster Competition at ! Thanks to all who voted! , your art is excellent.

  56. Aviva Lev-Ari Retweeted sci.AI

    Aviva Lev-Ari added,

  57.   Retweeted

    Congrats to Desmond Higgins for 2018 Franklin Award . Great talk on progress in

  58. Aviva Lev-Ari Retweeted Jane Reed

    The historical perspective provided most valuable for understanding in

    Aviva Lev-Ari added,

  59.   Retweeted

    Among Galton’s groundbreaking ideas: twin studies.

  60.   Retweeted
  61.   Retweeted

    It appears this year’s buzz word Data Science has replaced Bioinformatics ….

  62.   Retweeted

    Many Congratulations to the winner of Best of Show at from MediSapiens member !

  63.   Retweeted

    Everybody should become a Data Scientist instead of being a friend of a Data Scientist

  64.   Retweeted

    Dr. Stephen Kingsmore, CEO of , reacts to yesterday’s news about Edico Genome and shares his vision of rapid, scalable sequencing. For more information, please visit

  65.   Retweeted

    Thanks for a grand time. I feel drained but so FAIR. Also found out I suck at both ping pong and cornhole so I acquired a higher level of self-knowledge.

  66.   Retweeted

    Intel uses convents to accelerate copy number detection in GATK

  67.   Retweeted

    Congratulations to & for winning a Best Practices award for a Patient-Centric Platform for Clinical Research:

  68.   Retweeted

    . Height is a great example of how hard it is to get from knowing something is heritable to understanding how

  69.   Retweeted

    Getting sequences in 1984: write a letter to GenBank or EMBL and they’d mail you a book!

  70.   Retweeted

    Congratulations to & for taking home a Best Practices award for Project Platypus (details: )

  71.   Retweeted

    Enoch Huang , Pfizer is sharing the things he didn’t know he needed to know before attempting to implement a cloud-based genomics data environment

  72.   Retweeted

    . gives his first official lecture to promote his fabulous new book “She Has Her Mother’s Laugh” — great “get” by Expo!

  73.   Retweeted

    What changed to make data science so core? Lihua Yu notes we now can create large high quality data sets and the needed infrastructure. She also noted will/should democratize data.

  74. Aviva Lev-Ari Retweeted Carmen Nitsche

    Aviva Lev-Ari added,

  75.   Retweeted

    Boguski: “Precision medicine starts with precision diagnostics.” Good point!

  76.   Retweeted

    Data should be Persionalized Actionable Collaborative and Explainable (PACE) –

  77.   Retweeted

    create environments that motivate the team so that they do share data – John Reynders

  78.   Retweeted

    At asks the question “how much data is there on something we haven’t tried yet?” talking about the combinatorics challenges of cancer treatment (track 16)

  79. Aviva Lev-Ari Retweeted jahendler

    This is an area that will make the biggest contributions to serving

    Aviva Lev-Ari added,

  80.   Retweeted

    : Everyone, either now or very soon in the future, is going to need to be hands on with their data.

  81.   Retweeted

    We are still using the same tools/dyes we’ve been using to diagnose cancer since 19th century. It’s not even FDA-approved

  82.   Retweeted

    : Data science can include data wrangling, summarization, exploration and visualization. Ultimately, you’re optimizing the decision-making process. How you go from data to insight is less important than the quality of the results.

  83.   Retweeted

    Great point from John Reynders in the panel at – data science should help us decide the next relevant question to ask. True.

  84.   Retweeted

    We’re sharing ’s tweets today for . Learn about his work applying computer science to problems in in this profile:

  85.   Retweeted

    Yu: We have a big responsibility to democratize data

  86.   Retweeted

    Touching down at the Seaport with for ! Come say hi!

  87.   Retweeted

    “If you want to know if our drug is truly effective the best place to do it is not the clinic. We need to do it in the wild” – Digital Biomarkers in Pharma R&D.

  88.   Retweeted

    Don’t miss Kurt Kuckein Architecting for Success with Machine Learning Data Platforms at 5:15PM in the Amphitheater

  89.   Retweeted

    Damn. BioTeam is all over today. Good chance to see some of our folk who don’t normally do a lot of public talks in action. Plan your schedule accordingly and then come visit us in booth #441.

  90. Aviva Lev-Ari Retweeted Chris Dagdigian

    Bravo was impressed with attends since 2002

    Aviva Lev-Ari added,

  91.   Retweeted

    Check out my poster at to learn how is enabling in creating a digital Noah’s Ark

  92. Aviva Lev-Ari Retweeted Maria Simbirsky

    BRAVO TO@dnanexus

    Aviva Lev-Ari added,

    Translate Tweet

  93.   Retweeted

    And here they are… the results of a 25 hour time window of hacking at the hackathon! Some through better understanding of the metrics but a lot also by adding documentation, code and references to existing data sources.

  94.   Retweeted

    Registration for the 2018 Bio-IT World Conference & Expo is now OPEN. Ask about our 1 on 1 Networking Meetings.

  95.   Retweeted

    Spotted the Starfish at

  96. Aviva Lev-Ari Retweeted Kees van Bochove

    Bravo for these four steps of in

    Aviva Lev-Ari added,

  97.   Retweeted

    Reynders: is a person asking a question and human insight pushing an answer forward.

  98.   Retweeted

    starts today! Looking forward to three days of collaboration and celebration with the Bio-IT Community!

  99.   Retweeted

    RT stinuslindgreen: Last keynote by carlzimmer at Fascinating walk through the infancy of genetics.

  100. Aviva Lev-Ari Retweeted Cambridge Innovation

    History of as foundation for discussing and as evolving since mid 19th Century

    Aviva Lev-Ari added,

  101.   Retweeted

    Bio-IT World Editor Allison Proffitt welcomes a panel at . Tanya Cashorali () of TCB Analytics, Jerald Schindler of , John Reynders of & Lihua Yu of

  102. Aviva Lev-Ari Retweeted Stinus Lindgreen

    The challenge is on the Genomic crowd to accomplish that challenge, will welcome reinvention if brought to them

    Aviva Lev-Ari added,

  103.   Retweeted

    Learning about at

  104.   Retweeted

    We are getting ready for the last day at – yesterday I won a car. How to top that today?

  105.   Retweeted

    April Bingham Retweeted Helena Deus

    From my math about 18-20% female participants! Good to see diversity was top of mind for organisers as well.

    April Bingham added,

  106.   Retweeted

    The Town Hall is just about to start, here’s one last clip of from 2017 discussing MPI and HPC schedulers and if reports of their death are greatly exaggerated

  107.   Retweeted

    Bio-IT world expo: Well done with a gender balanced data science panel!!

  108.   Retweeted

    “The truly happy and successful Enterprise IT folks are generalist’s.” Organisations need to invest money and time in re-training, cross-training and investing in their current staff to bring new technologies to the table. @ the expert panel.

  109.   Retweeted

    discussing heredity and genes during his keynote presentation at

  110.   Retweeted

    We’re absolutely thrilled to announce our breakthrough scientific search engine iScite by won the Best Of Show Award 2018!!

  111.   Retweeted

    We are very excited to be part of ! Together with Illumina’s sequencing portfolio, the DRAGEN Bio-IT Platform enables customers to benefit from reduced investment in compute infrastructure, and accelerated result times.

  112.   Retweeted
  113.   Retweeted

    John Veystman assures us that won’t take over our jobs — AI is a partner to our human intelligence

  114.   Retweeted

    Our poster “Efficient curation and real-time querying of clinical and genomic data for 500.000 samples” was chosen as the poster competition winner at ! Come and check the winner at poster board 31

  115. Aviva Lev-Ari Retweeted MediSapiens

    BRAVO FOR POSTER COMPETION WINNER

    Aviva Lev-Ari added,

  116.   Retweeted

    What is the latest tech that impressed you? : I’m excited by everything that comes out of

  117. Aviva Lev-Ari Retweeted Mary-Ann Moore

    Very proud of for powerful technology

    Aviva Lev-Ari added,

  118.   Retweeted

    We’ve launched PetaSuite Cloud Edition at Bio-IT World 2018 and we’re proud to announce that we’ve won Best of Show. Congratulations to the whole team!

  119.   Retweeted

    : 70-80% of the hospital EHR is laboratory data. And this is about to get a lot more with digital pathology. In fact if all cancer pathology in U.S. would go digital it would produce almost a exabyte of data per year.

  120.   Retweeted

    Make your data more . Here are some tips on how to do this: Come to our booth 418 to discuss data FAIRification.

  121.   Retweeted

    I’ve intentionally stepped away from public speaking at partially as a way to force awesome Bioteam coworkers to replace me at the podium. Psyched to see John getting ready for a tech talk about IRODS for life sci data management — Peggy is pretty awesome as well 🙂

  122.   Retweeted

    “This company has been pushing the boundaries for the past 10 years in life sciences. With their new product they have brought natural language to the masses.” – judges. Congratulations team judges lifetime award!

  123.   Retweeted

    The Data hackathon teams: – datahub with PDX models – building on BioAssay protocols Impressive lineup, these are major biomedical data resources!

  124.   Retweeted

    We are very excited to welcome Edico Genome! Together with Illumina’s sequencing portfolio, the DRAGEN Bio-IT Platform enables customers to benefit from reduced investment in compute infrastructure, and accelerated result times.

  125.   Retweeted

    Yes! The -BASE platform for clinical studies with wearable sensors has won the award in data integration & management!

  126.   Retweeted

    No Man-nels at – Kudos to the organizers for ensuring gender balanced panels!

  127. Part 2: Tweets earned impressions over5/15 – 5/17/201

    •   Retweeted

      Thank you Bio-IT community for making a truly memorable event! See you next year in Boston: April 16-18, 2019

      Part 2: Tweets earned impressions over 5/15 – 5/17/2018 Period – 2018 BioIT, Boston

    Aviva Lev-Ari @AVIVA1950  52mThank you twitter.com/stephsteeves7/…

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    Aviva Lev-Ari @AVIVA1950  May 18Very important to remind initial step in democratization of Data and milestone #OpenAccess. See Open Access online Scientific Journal pharmaceuticalintelligence.com +5,300 scientific articles in BioMed, 16-Volume BioMed e-Series on Amazon.con #BioIT18 @AVIVA1950 @Pharma_BI twitter.com/ciinstitute/st…

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    Aviva Lev-Ari @AVIVA1950  May 18#BioIT18 Amazing event by @CHI #Expo was amazing two, 16 tracks, great talks, #datascience community @AVIVA1950 @Pharma_BI twitter.com/tcbanalytics/s…

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    Aviva Lev-Ari @AVIVA1950  May 18The historical perspective provided @DesmondHiggins most valuable for understanding #openaccess #Genomics in @Europe #BioIT18 #FranklinAward @AVIVA1950 @Pharma_BI twitter.com/jz_reed/status…

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    Aviva Lev-Ari @AVIVA1950  May 18Many strides made already in #datascience #computation #infrastructure #democratization #data large #datasets #data #quality #BioIT18 @AVIVA1950 @Pharma_BI twitter.com/cnitsche/statu…

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    Aviva Lev-Ari @AVIVA1950  May 18This is an area that #AI will make the biggest contributions to #Genomic serving #Medicine #BioIT18 @AVIVA1950 @Pharma_BI twitter.com/jahendler/stat…

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    Aviva Lev-Ari @AVIVA1950  May 18Bravo @BioTeam was impressed with #VariantQueryTool #BioIT18 @AVIVA1950 @Pharma_BI attends @BioITWorld since 2002 twitter.com/chris_dag/stat…

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    Aviva Lev-Ari @AVIVA1950  May 18History of #Genetics as foundation for #Genomics discussing #heredity and #environment #epigenetics as evolving since mid 19th Century @England #BioIT18 @AVIVA1950 @Pharma_BI twitter.com/ciinstitute/st…

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    Aviva Lev-Ari @AVIVA1950  May 18The challenge is on the Genomic crowd to accomplish that challenge, #radiotherapy will welcome reinvention if brought to them #BioIT18 @AVIVA1950 @Pharma_BI twitter.com/stinuslindgree…

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    Aviva Lev-Ari @AVIVA1950  May 17Bio-IT World Announces 2018 #AwardWinners – May 17, 2018 pharmaceuticalintelligence.com/2018/05/17/bio… via @Pharma_BI #BioIt18 @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17@YueWebster @Lilly TXG – MAP to compare Treatments: Apoptosis post treatment with Tunicamycin Red Induced expression Green supressed expression Hypetrophy caused by antibiotic Tunicamycin #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17@YueWebster, Informatics Capabilities, Research IT, @EliLilly How to build TXG – MAP #DataInput #Trainingset#DrugMatrix #Algorithms – 415 co-expression module #Interpretation #Geneontology #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 172018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – #Awards and #Keynote pharmaceuticalintelligence.com/2018/05/17/201… via @Pharma_BI

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    Aviva Lev-Ari @AVIVA1950  May 17 2018 BioIT AWARDS Judges’ Prize WINNER Alexion Pharmaceuticala nominated by EPAM Systems – SmartPanel: Rare DIsease Diagnostics – Algorithm Competition – automate from MDs Notes #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17Bio-IT World Personalized & Translational Medicine WINNER @MGH NeuroBank Patient-Centric Platform Clinical Research #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17Bio-IT World IT Infrastructure- WINNER Celgene #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17Bio-IT World Best Practices Awards – WINNER AstraZeneca, Nominated by Genedata IMED BioTech Unit #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17Franklin Award @bioitworld goes to Desmond G. Higgins, PhD, Professor, Biochemistry, University College Dublin Conway Institute of Biomolecular & Biomedical Research #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 17@BenjaminFranklin #Awards and #LaureatePresentation @JWBizzaro, Managing Director, @Bioinformatics.org Presented Award to @DesmondGHiggins @DublinCollege #OpenAccess #Clustal #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 16Synopsis Day 1 Track 7 – #NGSInformatics 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center pharmaceuticalintelligence.com/2018/04/05/201… via @Pharma_BI

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    Aviva Lev-Ari @AVIVA1950  May 16#LIMS or #ELN @KevinCramer #CEO @SapioSciences 2015 #Exemplar support #adHocExperimentation clean sheet design create RQS for Samples Assign processes Track progres register Samples Register plates Aliquoting Storage Graphical register consumables #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 16@ChavaKimchiSarfaty @FDA @CBER @OTAT #InSilico #translationkinetics based solely on calculated #codonusage #frequency #Ribosomalprofiling data do not correlate with #codonOptimization #Genetically engineered therapeutics – benefit from Codon Opt #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 16 @JackDiGiovanna @SevenBridges #MicrosatelliteInstability short tanden repeats of 1 to 6 base-pairs: #Detections #MSImutations in #somatic #variants #ProfilingHeterogeneity vs #TumorPurity #Clinical #MSIdata #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 16@LeonardLipovich #Human #BreastCancer #LongNonCoding #RNA #Mechanism: #MisTranslation #GeneTranslationInfidelity: why are only UAG and UGA, never UAA, #referencegenome #stopcodons are affected #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 15#DigitalPathology #ML #scanners #IntegratedPrecisionDiagnostics #Genomics #Radiology #Pathology @CPMedicalCenter #BioIT18 @pharma_BI @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 15#BioIT18 @pharma_BI @AVIVA1950 #DiagnosticsTesting drive #medicaldecisions @MGH Dx invented #laboratory mgm systems #Radiology #Pathology #AI #ML brings solutions

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    Part 3:  @pharma_BI Re-Tweets

    [@pharma_BI Retweeted]
    @pharma_BI
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    ·
    May 17
    2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote
    pharmaceuticalintelligence.com
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    ·
    May 17
    Embedded
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    May 16
    2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center
    pharmaceuticalintelligence.com
    @pharma_BI
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    ·
    May 16
    2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center
    pharmaceuticalintelligence.com
    Cambridge Innovation
    Cambridge Innovation
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    ·
    May 17
    RT stinuslindgreen: Last keynote by carlzimmer at #BioIT18 Fascinating walk through the infancy of genetics.
    Embedded
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    May 17
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    @Pharma_BI
    ·
    May 17
    2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote
    pharmaceuticalintelligence.com
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    May 17
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    May 16
    2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center
    pharmaceuticalintelligence.com

    Part 4: Original Tweets by @AVIVA1950

    1. Updated Synopsis Track 7: in 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center via

    2. Synopsis Track 7: in 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center via

    3. , MD @MGH and misalignment of data owners SW for MDs @ReginaBarzilay effective for expertise while data is locked in national tasks

    4. , MD, @MGH @HMSTargeted in more than another diseases matching to system does not exist yet in large scale @ReginaBarzilay Probabilistic methods instead of population studies

    5. , PhD, Research Professional, Booth School of Business, Institute for & , @UniversityofChicago Highest for , , , , , Results: 84 new estimates

    6. , Dir Bioinformatics, Cloud SW development Partner DNAnexus @MicrosoftASURE in 2017, St.Jude Cloud 3000 pediatric cancer survivors – Optimize therapy to improve quality of life Gene fusions – 42 days – Leukemia RNA Seq workflow

    7. @YueWebster TXG – MAP to compare Treatments: Apoptosis post treatment with Tunicamycin Red Induced expression Green supressed expression Hypetrophy caused by antibiotic Tunicamycin

    8. Aviva Lev-Ari Retweeted Mary-Ann Moore

      Aviva Lev-Ari added,

    9. @YueWebster, Informatics Capabilities, Research IT, How to build TXG – MAP – 415 co-expression module

    10. , Scientist, Research Informatics, @RochePharmaceuticals SOLUTION – 150 hours = is the most time consuming Ensebl REST API Endpoints

    11. Award-winning Science Writer; Columnist, New York Times; Author of She Has Her Mother’s Laugh, 2018) Up to 30 top contributed the largest to

    12. Plenary Keynote Presentation: Height and Intelligence: Exploring the Complexity and Controversy of Heredity

    13. 2018 BioIT AWARDS Judges’ Prize WINNER Alexion Pharmaceuticala nominated by EPAM Systems – SmartPanel: Rare DIsease Diagnostics – Algorithm Competition – automate from MDs Notes

    14. Bio-IT World Personalized & Translational Medicine WINNER @MGH NeuroBank Patient-Centric Platform Clinical Research

    15. Bio-IT World IT Infrastructure- WINNER Celgene

    16. Bio-IT World Clinical & Health IT – WINNER TakedaPharmaceutical Nominated by Deloitte

    17. Bio-IT World Best Practices Awards – WINNER AstraZeneca, Nominated by Genedata IMED BioTech Unit

    18. Franklin Award goes to Desmond G. Higgins, PhD, Professor, Biochemistry, University College Dublin Conway Institute of Biomolecular & Biomedical Research

    19. @BenjaminFranklin and @JWBizzaro, Managing Director, .org Presented Award to @DesmondGHiggins

    20. Synopsis Day 1 Track 7 – 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center via

    21. or 2015 support clean sheet design create RQS for Samples Assign processes Track progres register Samples Register plates Aliquoting Storage Graphical register consumables

    22. $11Bil – $28Billion of in systems &J @VedantaBioscinces announced a collaboration approach for : , beneficial symbionts,

    23. clever architecture for NGS tp://vqt.bioteam.net – Variant Query Tool – Server-less

    24. @ChavaKimchiSarfaty based solely on calculated data do not correlate with engineered therapeutics – benefit from Codon Opt

    25. @LBSHealth how to create new THAI Gov’t need methods to increase and years of

Read Full Post »


Retweets, Likes of Tweets by @AVIVA1950 @pharma_BI on May 8, 2018 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott,  Cambridge

@USAIC #USAIC2018

Curator: Aviva Lev- Ari, PhD, RN

 

Re-Tweets of MY TWEETS: via

@pharma_BI

@AVIVA1950

for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge

@USAIC

#USAIC2018

 

Stephen J Williams Retweeted your Tweet

 

Aviva Lev-Ari @AVIVA1950

Dr. David Goldstein, Director, Institute for Genomic Medicine, Columbia University Medical Center Clinical Trials in AD are very expensive collection of Data of AD populations for subgroups of Patients: Epilepsy vs AD Heterogeneity of AD @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

SYNOPSIS @USAIC #USAIC2018 by @pharma_BI @AVIVA1950 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge https://pharmaceuticalintelligence.com/2018/01/18/12th-annual-us-india-biopharma-healthcare-summit-may-8-2018-marriott-cambridge/ … via @Pharma_BI

 

Aviva Lev-Ari @AVIVA1950

Dr. Meeta Chatterjee, Head, Business Strategy & Operations, Business Development & Licensing, Merck Research Labs Biomarkers as surugate for Outcomes reduce cost of drug development very expensive @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

@SteliosPapadopoulos @Biogen Investors in Public Companies 80s Biotech @biogen @Genzyme @Amgen @Genetech in 90s @MedicinalChemistry Disappointment 2000-2010, Excitement 2015 on investment is generously @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

Academic Young entrepreneurs How the split of the rewards determined between the Academic institutions and the Investor? @AnsbertGadicke in China and in The US that definition of rewards is very different. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

Academic Young entrepreneurs How the split of the rewards determined between the Academic institutions and the Investor? #AnsbertGadicke in CHina and in The US that definition of rewards is very different. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

@BruceChabner @MGH@HMS @DanaFarber they CREATED the Diagnostics Industry via Genomics pioneering testing and linking to therapy Most of the World does not have ACCESS to #Diagnostics for #PatientSelection @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

#PhilipRowlands, Head of the Oncology Therapeutic Area Unit, @Takeda Pharmaceuticals Oncology got MOST investment by Pharma assays challenge of Resistence, how prioritization of combination therapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

Panel on Investment: @AnsbertGadicke, Founder & Managing Director @MPM Capital @SteliosPapadopoulos, Chairman @Biogen @TsutomuUne, Senior Corporate Advisor, @GCACorporation Moderator: @WilliamChin, Professor of Medicine, Emeritus @HMS @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

@ShahramEbadollahi #IBM @Watson #blockchain #AI is foundational @ColinHill, Chairman & CEO, @GNSHealthcare believes in digitization in Healthcare #BigData used for #repurposing #drugdevelopment and new #drugcombinations development @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Eliances Community liked your Tweet

@SteliosPapadopoulos @Biogen Investors in Public Companies 80s Biotech @biogen @Genzyme @Amgen @Genetech in 90s @MedicianlChemistry Disappointment 2000-2010, Excitement 2015 on investment is generously @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Zos liked your reply

Aviva Lev-Ari @AVIVA1950

@StevenPaul CEO @VoyagerTherapeutics #Bipolar #Schizophrenia much development of techniques and methodologies but these diseases are not well known, yet new cycle of development on its way @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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Aviva Lev-Ari @AVIVA1950

@MathaiMammen @JnJ Emphasize Disease vs Organizational assignment of science space is crucial hiring people with conviction @MichaelEhlers @Biogen BEST people for Science bench @AndrewPlump @Takeda all efforts on PARTNERSHIPS and culture @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

@ShahramEbadollahi #IBM @Watson #blockchain #AI is foundational @ColinHill, Chairman & CEO, @GNSHealthcare believes in digitization in Healthcare #BigData used for #repurposing #drugdevelopment and new #drugcombinations development @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

#VijayChandru, Chairman, @StrandLifeSciences Cost compression Data scientists cooperation on Health IT US and India model @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Crypto Goddess 🙂 liked your Tweet

Aviva Lev-Ari @AVIVA1950

#Blockchain platform decision medicine drugs, #AI leverage data already existing find new dedication from data collected in the past @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

Discovery to Commercialization – Data is Fragmented across institutions Diabetes Patients had higher risk for CVD in comparison to Obese Patient non-Diabetes – that data to confirm and monitor was not integrated. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

#NeuroDiseases Panelists: @AlfredSandrock @Biogen @DavidGoldstein @Columbia @MaurizioFava @HMS @MeetaChatterjee @Merck @StevenPaul @Voyager @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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Aviva Lev-Ari @AVIVA1950

@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Georgia Mitsi liked your reply

Aviva Lev-Ari @AVIVA1950

@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

 

MY TWEETS: via

@pharma_BI

@AVIVA1950

at for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge

@USAIC

#USAIC201

2 replies 32 retweets 49 likes

 

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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SYNOPSIS @USAIC #USAIC2018 by @pharma_BI @AVIVA1950 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge https://pharmaceuticalintelligence.com/2018/01/18/12th-annual-us-india-biopharma-healthcare-summit-may-8-2018-marriott-cambridge/ … via @Pharma_BI

 

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@AndrewPlump Chief Medical and Scientific Officer @Takeda Role of #AcademicInstitutions in Innovation and R&D?

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@VijayChandru, Chairman, @StrandLifeSciences Cost compression Data scientists cooperation on Health IT US and India model @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@ShahramEbadollahi @IBMWatson Access of Patient data, clinical Trial data, medical record data Tested on a Bitcoin platform using encryption as a Trusted distributed data architecture system @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@ShahramEbadollahi @IBMWatson #AI #Bitcoin is a platform for integration of all the records for Watson platform transaction – establish TRUST based on the cryptography of the system consent to share data FDA and CDC as Partner to TEST data @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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Technology Platforms @ChrisBenko, Co-Founder & CEO @KoneksaHealth @ColinHill CEO @GNSHealthcare @PeterMueller, Chairman, @BioXcelTherapeutics @ShahramEbadollahi @IBM Watson Health Group, IBM @VijayChandru, Chairman @StrandLifeSciences @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@SusanHockfield ex-President @MIT Thesis is a source of ideas @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@GeorgeDaley Dean @HMS PhD Program Faculties spend Sabbaticals in Industry BIOLOGY IS ADVANCING FAST NEW PROGRAMS FOR HTERAPIES @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@SusanHockfield ex-President @MIT the INTELLIGENT WEST #AI # Radiology interpretation @ReginaBarzilay revising curriculum to reinvent the FIELD basket of problems industry people on Campus searching @MIT Basket of experiment & ideas @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@GeorgeDaley Dean @HMS Tools penetration systems going back and forth between models Interdisciplinary institutes, @Harvard Centers for research Projects do not get advanced enough to interest VCs 100 faculties mroject not advanced enough @USAIC #USAIC2018 @pharma_BI @AVIVA1950