Speaker Profile

Ph.D., K&L Gates Professor of Ethics and Computational Technologies, Carnegie Mellon U.

Biography
Alex John London is the KL Gates Professor of Ethics and Computational Technologies at Carnegie Mellon University. An elected Fellow of the Hastings Center, his work focuses on ethical and policy issues surrounding the development and deployment of novel technologies in medicine, biotechnology and artificial intelligence. His book, For the Common Good: Philosophical Foundations of Research Ethics is available in hard copy from Oxford University Press and as an open access title. He is a member of the World Health Organization (WHO) Expert Group on Ethics and Governance of AI and from 20222023 he was a member of the U.S. National Academy of Medicine Committee on Creating a Framework for Emerging Science, Technology, and Innovation in Health and Medicine, whose report "Toward Equitable Innovation in Health and Medicine: A Framework was published in 2023.


 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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