The NHGRI Genomic Data Science Working Group facilitates a deeper engagement of the National Advisory Council for Human Genome Research on complex issues at the interface between genomics and data science.
The NHGRI Genomic Data Science Working Group was created in 2017 as a subcommittee of the National Advisory Council for Human Genome Research. The working group has been charged with providing input to the NHGRI Director and other institute leaders about relevant trans-National Institutes of Health issues related to data science, for which NHGRI is frequently called upon for leadership and expertise. The general remit is deliberately broad, with the intent to make the working group poised to consider the full spectrum of data science challenges (from data management to data usage, including policy-related elements) as they relate to all areas of genomics (from basic science to genomic medicine implementation).
Michael Boehnke, Ph.D., University of Michigan
Gill Bejerano, Ph.D., Stanford University
Eric Boerwinkle, Ph.D., UTHealth School of Public Health and Baylor College of Medicine
Mark Craven, Ph.D., University of Wisconsin-Madison
Trey Ideker, Ph.D., UC San Diego
Gail Jarvik, M.D, Ph.D., University of Washington
Eimear Kenny, Ph.D., Icahn School of Medicine at Mount Sinai
Christina Leslie, Ph.D., Sloan Kettering Institute
Shannon McWeeney, Ph.D., Oregon Health & Sciences University
Casey Overby Taylor, Ph.D., Johns Hopkins University
Anthony Philippakis, M.D., Ph.D.,The Broad Institute of MIT and Harvard
Last updated: April 5, 2021