Data Science and Analytics Technologies


The practice of data science requires the use of data analytics tools and technologies like Python, R, SQL, and Tensorflow and approaches like graph databases and column stores to help data professionals gain extra insights and value from data. The Data Science and Analytics Technologies track will explore popular analytics tools, technologies, languages, and approaches to managing highly complex data that data scientists are using. Most importantly, presentations will explore what problems data science and analytics technologies are solving within the field, specific methods that are being applied, how to assess the value add against cost, and how to set up team structure within the organization. How do you involve the end-user in defining the requirements necessary to make the results of these analytics easily actionable?

Tuesday, October 6

PLENARY KEYNOTE PROGRAM

10:00 am

Welcome Remarks

Cindy Crowninshield, Executive Event Director, Cambridge Healthtech Institute
Scott Parker, Director of Product Marketing, Marketing, Sinequa
10:15 am

NIH’s Strategic Vision for Data Science

Susan K. Gregurick, PhD, Associate Director, Data Science (ADDS) and Director, Office of Data Science Strategy (ODSS), National Institutes of Health
Rebecca Baker, PhD, Director, HEAL (Helping to End Addiction Long-term) Initiative, Office of the Director, National Institutes of Health
11:05 am

LIVE Q&A: Session Wrap-Up Panel Discussion

Panel Moderator:
Ari E Berman, PhD, CEO, BioTeam Inc
11:25 am Lunch Break - View Our Virtual Exhibit Hall
11:55 am Recommended Pre-Conference Workshops*
W1: Data Management for Biologics: Registration and Beyond
W2: A Crash Course in AI: 0-60 in Three
W3: Data Science Driving Better Informed Decisions

*Separate registration required. See workshop page for details.

1:55 pm Refresh Break - View Our Virtual Exhibit Hall
2:15 pm Recommended Pre-Conference Workshops*
W4: Digital Biomarkers and Wearables in Pharma R&D and Clinical Trials
W5: AI-Celerating R&D: Foundational Approaches to How Emerging Technologies Can Create Value
W6: Dealing with Instrument Data at Scale: Challenges and Solutions

*Separate registration required. See workshop page for details.

4:15 pm Close of Day

Wednesday, October 7

BECOMING A DATA-DRIVEN ORGANIZATION

9:00 am PANEL DISCUSSION:

Creating an Effective Data and Analytics Strategy – Where Do You Start?

Panel Moderator:
Tanya Cashorali, CEO, TCB Analytics LLC

Data is all over the place and in different formats. What data is actionable? What is the end goal? How do you build out an organization? Are you sure you know what problem you are trying to solve? How do you set up an analytics environment?

Panelists:
Helena F Deus, PhD, Biomedical Semantics Solutions Lead, ZS Associates
Adam M Jenkins, PhD, Assoc Dir Global Data Science, Commercial Excellence & Operations, Biogen
Heather Shapiro, PhD, Head, Data Science, Pear Therapeutics
Lauren Young, Senior Scientist, Computational Biology, Beam Therapeutics
10:00 am Coffee Break - View Our Virtual Exhibit Hall

INNOVATIVE APPROACHES TO DATA MANAGEMENT AND ANALYTICS

10:20 am

FAIR and the (Tr)end of Data Lakes

Kees Van Bochove, Founder, The Hyve

This presentation aims to address a few key questions on the role of FAIR that come up often in data strategy:

- What is the value of FAIR data?

- How deep and/or wide do you have to go in making data FAIR?

- Should we invest in retrospective or prospective FAIRification?

- How can data FAIRification be scaled up?

- Could you please provide some success stories?


10:40 am

Data Management and Analytics – Innovation and Digitization through Platforms

Meghan Raman, Director, IT - Biometrics & Data Sciences, Bristol Myers Squibb Co.

An innovative platform approach to data management and analytics including a foundational data layer, a data catalog and a reproducible analytic environment will provide a digital solution to monetize the data at scale. This talk describes an innovative cutting-edge approach to enterprise data management and analytics, major contributing factors for significant cost savings and monetization of data, digital capabilities to provide competitive differentiation across the pharmaceutical value chain.

Umesh Katpally, PhD, Director, Data Advisory for Data Sciences, BC Platforms

Drug developers are increasingly investing in RWD to bring precise drugs to market. Though RWD holds potential, its diversity poses challenges. This talk discusses ways to address obstacles such as varied data models and lack of validation. It showcases a platform that enables interoperability and accessibility, increasing ROI and insights.

Tyler May, Lead Solution Engineer, Tableau Software
Geoff Somerville, Lead Solution Engineer, Tableau Software

See how organizations are using Tableau to improve patient outcomes and advance clinical trials. Watch a demo featuring predictions in Tableau using Einstein Discovery and embedded dashboards in Salesforce using the Lightning Web Component.

11:30 am LIVE Q&A:

Session Wrap-Up Panel Discussion

Panel Moderator:
Kees Van Bochove, Founder, The Hyve
Panelists:
Tanya Cashorali, CEO, TCB Analytics LLC
Helena F Deus, PhD, Biomedical Semantics Solutions Lead, ZS Associates
Tyler May, Lead Solution Engineer, Tableau Software
Adam M Jenkins, PhD, Assoc Dir Global Data Science, Commercial Excellence & Operations, Biogen
Umesh Katpally, PhD, Director, Data Advisory for Data Sciences, BC Platforms
Meghan Raman, Director, IT - Biometrics & Data Sciences, Bristol Myers Squibb Co.
Heather Shapiro, PhD, Head, Data Science, Pear Therapeutics
Lauren Young, Senior Scientist, Computational Biology, Beam Therapeutics
11:50 am Lunch Break - View Our Virtual Exhibit Hall
11:55 am Interactive Breakout Discussions

Consider joining a breakout discussion group. These are informal, moderated discussions with brainstorming and interactive problem solving, allowing participants from diverse backgrounds to exchange ideas and experiences and develop future collaborations around a focused topic.

Michael Riener, President, RCH Solutions

Join us for a lively discussion among prominent pharma leaders, and learn:

Why, when & how to implement a public Cloud for your computing needs

Challenges and opportunities when setting and managing stakeholder expectations

Critical keys to success to realize the best outcomes

To learn more about RCH Solutions, visit our Virtual Booth

Jeff Evernham, VP of Customer Solutions, Consulting, Sinequa

Most large scale analysis of clinical trial data only leverages part of the picture, ignoring unstructured data and limiting findability across all the information collected throughout multiple disparate data sources.  This roundtable will discuss leveraging a cognitive platform to combine all data from multiple sources into one unified view using a single entry point to the data.

 

Joe Donahue, Managing Director, Life Sciences, Accenture

Hosted by Joe Donahue, Managing Director, Life Sciences, Accenture

 

Participants include: 

Andreas Matern, Head of Digital Translational Medicine, Sanofi

John Quackenbush, Professor of Computational Biology and Bioinformatics; Harvard T.H. Chan School of Public Health

Seungtaek Lee, VP, Strategic Partnerships and AI RWE Head of CoE; ConcertAI

Preston Keller, PhD, MBA, President & CCO, PercayAI

Philip Payne, PhD, Becker Professor and Chief Data Scientist, Washington University in St. Louis

 

Sasha Paegle, Life Science Business Development, Dell Technologies

Evaluating, optimizing and benchmarking of next generation sequencing (NGS) methods are essential for clinical, commercial and academic NGS pipelines. Optimizations for speed and accuracy often require making trade-offs relative to other constraints. Join this roundtable to discuss benchmarking strategies, trade-offs, and the value of benchmarking genomics tools and applications. 

PLENARY KEYNOTE PROGRAM

Michael Schwartz, Head, Product Marketing, Marketing, Benchling

The life science industry has forged ahead with a new generation of therapeutics. A new R&D paradigm is required to develop scientific platforms, manage data complexity, and orchestrate progress across specialized teams. Digital solutions and data ecosystems are at the heart of this, but require both structure and adaptability to thrive in the modern life science R&D environment.

12:30 pm KEYNOTE PRESENTATION & PANEL DISCUSSION:

Game On: How AI, Citizen Science, and Human Computation Are Facilitating the Next Leap Forward

Allison Proffitt, Editorial Director, Bio-IT World

While the precision medicine movement augurs for better outcomes through targeted prevention and intervention, those ambitions entail a bold new set of data challenges. Various panomic and traditional data streams must be integrated if we are to develop a comprehensive basis for individualized care. However, deriving actionable information requires complex predictive models that depend on the acquisition and integration of patient data on a massive scale. This picture is further complicated by new data streams emerging from quantified self-tracking and health social networks, both of which are driven by experimentation-feedback loops. Tackling these issues may seem insurmountable, but recent advancements in human/AI partnerships and crowdsourcing science adds a new set of capabilities to our analytic toolkit. This session describes recent work in online collective systems that combine human and machine-based information processing to solve biomedical data problems that have been otherwise intractable, and an information processing ecosystem emerging from this work that could transform the landscape of precision medicine for all stakeholders. Pietro will open with a framing talk, followed by short presentations from each panelist, ending with a moderated Q&A discussion by Allison with speakers and attendees. 

Panelists:
Seth Cooper, PhD, Assistant Professor, Khoury College of Computer Sciences, Northeastern University
Lee Lancashire, PhD, CIO, Cohen Veterans Bioscience
Pietro Michelucci, PhD, Director, Human Computation Institute
Jérôme Waldispühl, PhD, Associate Professor, School of Computer Science, McGill University
1:55 pm Refresh Break - View Our Virtual Exhibit Hall

APPLIED DATA SCIENCE AND TOOLS

2:10 pm

Enterprise-Wide Data Science Innovation and Enabled Business Strategies

Srikanth Ramakrishnan, Director, Intelligent Automation & Analytics, Janssen Pharmaceuticals R&D IT

The convergence of several technology trends has accelerated progress in data science. The volume of data continues to double every couple of years. Data scientists now have massive compute power they can tap into, and they are devising ever more novel algorithms. How does an enterprise approach the key technology building blocks to enable scalable and agile applications in data science and machine learning, including deep learning? The talk will describe some of the foundational technologies, structure and processes that could enable an enterprise to put AI to work for transforming their businesses.

2:50 pm Refresh Break - View Our Virtual Exhibit Hall
Bhushan Garware, Dr., Senior Data Scientist, Healthcare & Life Sciences, Persistent Systems

LungAI™ is an AI-enabled early Lung Cancer detection solution developed for accurate identification of Circulating Tumor Cells from the FISH-based confirmatory diagnostic test LungLB™. Learn how Persistent’s AI-driven algorithms reduced analysis time by almost 70%, accelerating LungLife AI's efforts to reduce the impact of a lung cancer.

James Malone, Chief Technology Officer, Technical, Company

In the midst of a global pandemic, many of us are reflecting on our roles and how they may contribute to solutions. For data driven organisations, data science is key. What is the role of data sharing, standards, machine learning, and how can we best get this into scientist’s hands?

4:00 pm LIVE Q&A:

Session Wrap-Up Panel Discussion

Panel Moderator:
Srikanth Ramakrishnan, Director, Intelligent Automation & Analytics, Janssen Pharmaceuticals R&D IT
Bhushan Garware, Dr., Senior Data Scientist, Healthcare & Life Sciences, Persistent Systems
Adam Brown, Director, Technical Sales US, Technical Sales, SciBite
4:20 pm Bio-IT Connects - View Our Virtual Exhibit Hall
5:00 pm Close of Day

Thursday, October 8

TRENDS FROM THE TRENCHES - 10TH ANNIVERSARY!

9:00 am KEYNOTE PRESENTATION & PANEL DISCUSSION:

Trends from the Trenches

Kevin Davies, PhD, Executive Editor, The CRISPR Journal; Founding Editor, Bio-IT World

The “Trends from the Trenches” will celebrate its 10th Anniversary at Bio-IT! Since 2010, the “Trends from the Trenches” presentation, given by Chris Dagdigian, has been one of the most popular annual traditions on the Bio-IT Program. The intent of the talk is to deliver a candid (and occasionally blunt) assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences. The presentation has helped scientists, leadership, and IT professionals understand the basic topics related to computing, storage, data transfer, networks, and cloud that are involved in supporting data-intensive science. In 2020, Chris will give the “Trends from the Trenches” presentation in its original “state-of-the-state address” followed by guest speakers giving podium talks on relevant topics. An interactive Q&A moderated discussion with the audience follows. Come prepared with your questions and commentary for this informative and lively session. To stay connected with Trends from the Trenches updates after today and all year, sign up for BioTeam's newsletter here: https://bit.ly/33uO0OY 

Panelists:
Vivien R. Bonazzi, PhD, Managing Director & Chief Biomedical Data Scientist, Deloitte Consulting LLP
Tim Cutts, PhD, Head of Scientific Computing, Wellcome Sanger Institute
Chris Dagdigian, Senior Director, BioTeam Inc.
Kjiersten Fagnan, PhD, CIO, Data Science & Informatics, Lawrence Berkeley National Laboratory
Matthew Trunnell, Data Commoner-at-Large; Executive Director, Pandemic Response Commons; Former Vice President and Chief Data Officer, Fred Hutchinson Cancer Research Center
Paul Speciale, Chief Product Officer, Product Management, Scality

Biotechnology companies are facing new challenges in the amount of data that needs processing for genomics analysis. What used to be Terabytes of data is now petabytes of data and beyond. This data needs to be collected, analyzed, processed and then ultimately retained for compliance and research purposes - resulting in massive data storage and management challenges, unsolvable by legacy technology solutions. Our session will explain how to leverage new all-flash storage and hybrid-cloud solutions to make genomics analysis run quantum leaps faster than before.

10:55 am Sponsored Presentation (Opportunity Available)
11:30 am Lunch Break - View Our Virtual Exhibit Hall
11:35 am Interactive Breakout Discussions

Consider joining a breakout discussion group. These are informal, moderated discussions with brainstorming and interactive problem solving, allowing participants from diverse backgrounds to exchange ideas and experiences and develop future collaborations around a focused topic.

Timothy Gardner, CEO, Riffyn, Inc.

How do you use data / digitization today to drive scientific discovery / product development?

What are you greatest scientific pain points / gaps that are not being met by digitization?

What kinds of outcomes do you believe digital tools could help you achieve?

 

Scott Jeschonek, Principal Program Manager, Microsoft Azure

Welcome to this discussion group on the growth of demand for HPC in scientific research. We are looking forward to a lively forum. We'll start by looking at three related topics:

- What events trigger demand in your organization? How has the current pandemic impacted resources?

- What could make scale and collaboration more accessible to more researchers?

- Share a recent experience of shifting workloads to manage HPC capacity.

Greg DiFraia, General Manager, Americas, Executive Team, Scality
Shailesh Manjrekar, Head of AI and Strategic Alliances, Executive Team, WekaIO

In this session we’ll discuss how to provide researchers with performance and scale in genomics & research analytics, to drive results at a price point that’s economically viable on public & private cloud.

11:35 am

Breakout: NGS Pipeline Optimizations

Tristan J Lubinski, PhD, Sr Scientist, Next Generation Sequencing Informatics, AstraZeneca Pharmaceuticals; Co-organizer, Boston Computational Biology and Bioinformatics (BCBB)
Howard Marks, Technologist Extraordinary and Plenipotentiary, VAST Data

Storage solutions we’ve been using force bioinformaticists to make trade-offs between the capacity and low-cost of disk and the performance of flash. This results in complex tiering configurations that only deliver performance for a small slice of the data. In this session, we will review how advancements in technology enable VAST Data to revolutionize the cost of all-flash and allows bioinformatists faster analysis across larger datasets for deeper insights.

PLENARY KEYNOTE PROGRAM

12:00 pm

Welcome Remarks

Cindy Crowninshield, Executive Event Director, Cambridge Healthtech Institute
Juergen A. Klenk, PhD, Principal, Deloitte Consulting LLP
12:15 pm

Toward Preventive Genomics: Lessons from MedSeq and BabySeq

Robert C. Green, Professor & Director, G2P Research, Genetics & Medicine, Brigham & Womens Hospital
12:40 pm

AI in Pharma: Where We Are Today and How We Will Succeed in the Future

Natalija Z. Jovanovic, PhD, Chief Digital Officer, Sanofi
1:05 pm

LIVE Q&A: Session Wrap-Up Panel Discussion

Panel Moderator:
Vivien R. Bonazzi, PhD, Managing Director & Chief Biomedical Data Scientist, Deloitte Consulting LLP
Juergen A. Klenk, PhD, Principal, Deloitte Consulting LLP
2:00 pm Close of Conference
1:25 pm Happy Hour - View Our Virtual Exhibit Hall





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