THE FUTURE IS HERE

Welcome and Keynote Session: What are the opportunities and challenges for ML in genomics research?

April 13-14, 2021 – The NHGRI Genomic Data Science Working Group hosted Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics. This virtual workshop highlights the opportunities and obstacles that occur when applying machine learning methods to basic genome sciences and genomic medicine.

Workshop Agenda: https://www.genome.gov/event-calendar/Machine-Learning-in-Genomics-Tools-Resources-Clinical-Applications-and-Ethics

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Welcome
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Co-chairs:
Trey Ideker, Ph.D., University of California San Diego
Mark Craven, Ph.D., University of Wisconsin

Speaker:
Eric Green, M.D., Ph.D., Director, National Human Genome Research Institute

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Keynote:
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Moderator:
Shannon McWeeney, Ph.D., Oregon Health and Sciences University

Presenters:
Eric Topol, M.D., Scripps Research
Brad Malin, Ph.D., Vanderbilt University Medical Center

Chapters:
0:00 – Start
0:09 – Welcome (Mark Craven)
0:52 – Welcome (Trey Ideker)
1:28 – Opening Remarks (Eric Green)
9:41 – Keynote Presentation (Eric Topol)
34:54 – Keynote Presentation (Brad Malin)
59:00 – Q&A Session with Shannon McWeeney, Eric Topol and Brad Malin