Session Chair Profile
PMWC PIONEER AWARD
Developed computational methods for analyzing genomic data and predicting drug responses that have revolutionized pharmacogenomics
M.D., Ph.D., Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science, Stanford
Biography
Russ Biagio Altman is the Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science) and past chairman of Bioengineering at Stanford University. His research uses computing to understand drug action at molecular, cellular, organism and population levels. He founded the PharmGKB, is an Associate Director of the Stanford Institute for HumanCentered AI, and coleads an FDA Center of Excellence. He is a member of the National Academy of Medicine, past president of the International Society for Computational Biology and of the American Society for Clinical Pharmacology Therapeutics. He chaired the FDA Science Board and served on the NIH Directors Advisory Committee. He has received Stanford awards for Teaching and Mentorship. He coorganizes the Pacific Symposium on Biocomputing, and is a founder of Personalis (NASDAQ: PSNL). He is founding editor of the Annual Reviews of Biomedical Data Science, and hosts a podcast entitled "The Future of Everything."
Session Abstract – PMWC 2024 Silicon Valley
Track Chair:
Gad Getz, Broad Institute
- PMWC 2024 Luminary Award
Luminary Honoree: Heidi Rehm, MGH and Broad Institute
- Opening Talk: The Power of Data by Track Chair Gaddy Getz, Broad Institute
- Global Data Sharing Collaboration: Overcoming Organizational and Sectoral Barriers (PANEL)
Chair: Gad Getz, Broad Institute
- Peter Goodhand, GA4GH
- Valentina Di Francesco, NHGRI - Challenges of Remote Data Harmonization and Querying
Chair: Heidi Rhem, MGH and Broad Institute
- Andrea Ramirez, All of Us
- Simona Carini, UCSF
- Josh Peterson, Emerge/Vanderbilt University Medical Center
- Nara Sobreira, Johns Hopkins/GeneMatcher - Keynote: Machine Learning for Therapeutic Discovery
- Daphne Koller, insitro
- Exploring the Power of AI and Data Sciences in Drug Discovery
Chair: Russ Altman, Stanford University
- Kim Branson, GSK
- Sun-Gou Ji, BridgeBio
- Angela Oliveira Pisco, Insitro - Foundation Models to Advance Precision Medicine (PANEL)
Chair: Nigam Shah, Stanford
- Aashima Gupta, Google
- Matthew Lungren, Microsoft
- Rod Tarrago, AWS
