Speaker Profile

Ph.D., Associate Professor of Medicine, Stanford

Biography
Dr. Olivier Gevaert is an Associate Professor at Stanford University at the Stanford Center for Biomedical Informatics Research in the Departments of Medicine and Biomedical Data Science. Dr. Gevaerts research is at the forefront of precision medicine, utilizing machine learning and artificial intelligence to integrate diverse biomedical data typessuch as imaging, genomic, and clinical data. His work has implications for oncology, where he applies informatics techniques to enhance the understanding of cancer progression and to tailor treatments based on patient data.A prolific researcher, Dr. Gevaert has published extensively on topics related to biomedical data science, AI in healthcare, and the development of novel computational methods to improve decision-making. He has received recognition for his contributions to the fields of data science and biomedical informatics.Dr. Gevaerts groundbreaking work continues to drive innovation at the intersection of technology and healthcare, pushing the boundaries of how data can be leveraged to improve patient outcomes.


 Session Abstract – PMWC 2025 Silicon Valley

Track 4 - February 5 9.00 A.M.-4.45 P.M.


Track Chair: Keith Yamamoto, UCSF

  • PMWC 2025 Award Ceremony:
    Pioneer Honoree: Robert Califf, FDA
    Luminary Honoree: Ida Sim, UCSF
  • Fireside Chat: Keith Yamamoto, UCSF, Robert Califf, FDA, and Kathy Giacomini, UCSF
  • Keynote: Harnessing Computational Tools in Precision Medicine: Implementation and Future Directions
    - Ida Sim, UCSF
  • AI-driven Advances in Precision Medicine (PANEL)
    Chair: Sharat Israni, Bakar Institute, UCSF
    - Peter Norvig, Google
    - Susan Lynch, UCSF
    - Olivier Gevaert, Stanford
    - Michelle Arkin, UCSF
  • New Federal Programs Driving Transformative Health Breakthroughs (PANEL)
    Chair: Keith Yamamoto, UCSF
    - Charles Romine, NIST
    - Erwin Gianchandani, NSF
    - Jim Brase, Lawerence Livermore National Laboratory (LLNL)
  • AI-Driven Protein Design (PANEL)
    Chair: Tanja Kortemme, UCSF
    - Franziska Seeger, Genentech
    - William Degrado, UCSF
  • AI and Ethical Challenges (PANEL)
    Chair: Alex John London, Carnegie Mellon University
    - Jianying Hu, IBM
    - Cora Han, University of California Health
    - Ida Sim, UCSF

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