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Bio-IT World 2020 proved again that the Bio-IT Community is stronger than walls can contain. The pivot to a virtual event generated a new energy and the knowledge-sharing sessions represent a body of rich perspectives to advance the future of biomedical research, drug discovery and development, and healthcare.

If you missed this must-attend conference, fear not. For the first time, we’re offering on-demand access to Bio-IT World presentations, technology exhibits, and technical research posters for a full year.

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Feedback from Bio-IT World 2020 Participants

"Bio-IT World brought together one of the widest forums of expertise in the discipline."
AI & Machine Learning Tech Lead, Pfizer

"Bio-IT World is the finest and unequaled gathering of the best minds in Life Sciences Research."
CTO, RCH Solutions

"Not only did the conference organizers embrace the 'new normal' for Bio-IT World this year, in many regards they made the virtual conference even more informative, beneficial, and fun."
Professor, RENCI/UNC Chapel Hill

"One of the best virtual conferences attended this year in terms of topics completely focused to the industry that I work in."
Senior Director IT, GE Healthcare


Featuring the Most Attended Presentations of Bio-IT World 2020

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

Seth Cooper, PhD, Assistant Professor, Khoury College of Computer Sciences, Northeastern University
Lee Lancashire, PhD, Chief Information Officer, Cohen Veterans Bioscience
Pietro Michelucci, PhD, Director, Human Computation Institute
Jérôme Waldispühl, PhD, Associate Professor, School of Computer Science, McGill University

Trends from the Trenches

Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, BioTeam, Inc.
Vivien Bonazzi, PhD, Chief Biomedical Data Scientist, Managing Director, Deloitte
Tim Cutts, PhD, Head, Scientific Computing, Wellcome Trust Sanger Institute
Kjiersten Fagnan, PhD, Chief Informatics Officer, Data Science and Informatics Leader, DOE Joint Genome Institute, 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

Creating an Effective Data and Analytics Strategy

Tanya Cashorali, CEO, TCB Analytics LLC
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

Beyond Discoverability: Metadata to Drive Your Data Management

Terrell Russell, PhD, Chief Technologist, The iRODS Consortium at Renaissance Computing Institute (RENCI)

Metadata: Getting to Know Your Data

Oleg Moiseyenko, Associate Director, Scientific Computing Systems, Bristol Myers Squibb

Real-World Evidence (RWE): Data Provenance, Format, Ingest, Quality (Bias), Integration, Visualization, Transformation, Verification & Validation, and Implementation

Sanjay Joshi, Industry CTO, Healthcare, Dell Technologies
Victoria A Gamerman, PhD, Head, US Health Informatics & Analytics, Boehringer Ingelheim Pharmaceuticals Inc
Kenna R Mills Shaw, PhD, Exec Dir, Institute for Personalized Cancer Therapy, MD Anderson Cancer Ctr
Kelly H Zou, PhD, VP & Head of Medical Analytics & Insights Research, R&D & Medical, Pfizer Inc

Data Management and Analytics - Innovation and Digitization through Platforms

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

Applications of AI and Data Science to Drug Development: Opportunities and Challenges

Faisal Khan, PhD, Executive Director, Advanced Analytics & AI, AstraZeneca Pharmaceuticals, Inc.

The Essentials of FAIR-ifying Data

Tom Plasterer, PhD, Director, Bioinformatics, Data Science & AI, Biopharmaceutical R&D, AstraZeneca

The Road from Data Commons to Data Ecosystems: Challenges, Opportunities, and Emerging Best Practices

Robert Grossman, PhD, Frederick H. Rawson Distinguished Service Professor in Medicine and Computer Science; Director, The Jim and Karen Frank Center for Translational Data Science, University of Chicago

A Comprehensive Platform for Innovation with Data

Ajay Shah, PhD, MBA, Executive Director & Head of IT for Translational Medicine, Bristol-Myers Squibb

ChemDataExplorer: A Data Warehouse, Visualization and Machine Learning Platform for Small Molecules

Peter V. Henstock, PhD, Machine Learning & AI Lead, Software Engineering & Statistics & Visualization, Pfizer Inc.

 

 

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