Speaker Profile
Biography
Dr. Suzanne Tamang an Assistant Professor, Dept of Medicine and a Faculty Fellow at the Stanford Center for Population Health Sciences. She is also a Senior Computer Scientist at the Dept of Veterans Affairs. Dr. Tamang uses her training in biology, computer science, health services research and biomedical informatics to work with interdisciplinary teams of experts on population health problems. Integral to her research, is the analysis of large and complex health datasets, using techniques from natural language processing, machine learning and deep learning. Her expertise spans US and Danish population based registries, Electronic Medical Records, healthcare claims and other types of observational health data sources; also, designing, populating and applying knowledge bases for automated reasoning. Dr. Tamang has developed opensource tools for text mining and licensed machine learning prediction models to Silicon Valley health analytics startups. She is the faculty mentor for the Stanford community working group Stats for Social Good.
Session Abstract – PMWC 2024 Silicon Valley
Track Chair: Keith Yamamoto, UCSF
- PMWC 2024 Award Ceremony:
Luminary Honoree: Geoff Ginsburg, NIH (All of Us)
- Fireside Chat: Geoff Ginsburg, NIH and Keith Yamamoto, UCSF
- New Federal Programs Driving Transformative Health Breakthroughs (PANEL)
Chair: Keith Yamamoto, UCSF
- Arunan Skandarajah, ARPA-H
- Susan Marqusee, NSF
- Sheng Lin-Gibson, NIST - AI-driven Advances in Precision Medicine (PANEL)
Chair: Sharat Israni, Bakar Institute, UCSF
- Suzanne Tamang, Stanford
- Colleen Clancy, UC Davis
- Nevan Krogan, UCSF
- Lauren Erdman, University of Toronto - Precision Medicine in New Research Frameworks (PANEL)
Chair: Regis B. Kelly, UCSF
- Joe DeRisi, UCSF
- Luke Gilbert, UCSF
- Prachee Avasthi, Arcadia Science - Living Therapeutics for Precision Medicine
Chair: Michelle Hermiston, UCSF
- Peter Marks, FDA
- Wendell Lim, UCSF
- Liora Schultz, Stanford - AI and Precision Medicine: Navigating Equity and Social Justice Challenges (PANEL)
Chair: Hank Greely, Stanford
- Ziad Obermeyer, UC Berkeley
- Sara L. Ackerman, UCSF