Session 3: Data and resource needs for machine learning in genomics

August 3, 2021 by No Comments

April 13-14, 2021 – The NHGRI Genomic Data Science Working Group hosts 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:

Christina Leslie, Ph.D., Memorial Sloan Kettering Cancer Center
Mark Craven, Ph.D., University of Wisconsin

Alexis Battle, Ph.D., Johns Hopkins University
Anshul Kundaje, Ph.D., Stanford University
Gregory Cooper, M.D., Ph.D., University of Pittsburgh

0:00 – Day 2 Opening Remarks (Trey Ideker)
2:04 – Day 2 Opening Remarks (Mark Craven)
5:04 – Presentation (Alexis Battle)
26:24 – Q&A with Alexis Battle
33:25 – Presentation (Anshul Kundaje)
59:16 – Q&A with Anshul Kundaje
1:06:23 – Presentation (Gregory Cooper)
1:20:45 – Q&A with Gregory Cooper Xinghua Lu
1:27:18 – General Q&A with Christina Leslie/Mark Craven, Alexis Battle, Anshul Kundaje, Gregory Cooper and Xinghua Lu