Speaker Profile
Biography
Dr. Nigam Shah is Professor of Medicine (Biomedical Informatics) at Stanford University, and serves as the Associate CIO for Data Science for Stanford Health Care. Dr. Shah's research focuses on bringing machine learning to clinical use safely, ethically and costeffectively. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.
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
- Challenges of Remote Data Harmonization and Querying (PANEL)
Chair: Heidi Rhem, MGH and Broad Institute
- Chris Lunt, All of Us
- Simona Carini, UCSF
- Josh Peterson, Emerge/Vanderbilt University Medical Center
- Nara Sobreira, Johns Hopkins/GeneMatcher - Promoting Global Collaboration for Data Sharing: Overcoming Organizational and Sectoral Barriers (PANEL)
Chair: Gad Getz, Broad Institute
- Peter Goodhand, GA4GH
- Valentina Di Francesco, NHGRI
- Melanie Courtot, ICGC-ARGO
- Erica Galvez, Manifest MedEx - Keynote: Machine Learning for Therapeutic Discovery
- Daphne Koller, insitro
- Exploring the Power of AI and Data Sciences in Drug Discovery (PANEL)
Chair: Michelle Chen, Insilico Medicine
- Kim Branson, GSK
- Laszlo Radvanyi, Ontario Institute for Cancer Research
- Martin Stumpe, Tempus
- Sun-Gou Ji, BridgeBio
- Angela Oliveira Pisco, Insitro - Foundation Models to Advance Precision Medicine (PANEL)
Chair: Nigam Shah, Stanford
- Aashima Gupta, Google
- Rod Tarrago, AWS
- Lana Feng, Huma.ai - PMWC Showcase
- Janusz Dutkowski, Data4Cure