Speaker Profile
Biography
Jim Brase is a recognized leader in large-scale data analytics, artificial intelligence, and high-performance computing, with extensive experience applying these technologies to national security, scientific discovery, and biomedical research.Brase currently oversees LLNLs biodefense and public health portfolio, integrating work in AI, high-performance computing, and biotechnology in support of predictive biosystem modeling and accelerated molecular design. In addition to his leadership in biological computing, Brase has directed LLNL efforts in machine learning, statistical modeling, agent-based simulation, and advanced analytics to solve some of the most complex challenges in cybersecurity, remote sensing, and defense applications. Brase has worked extensively with government agencies, industry partners, and research institutions, helping to bridge the gap between cutting-edge computational research and real-world applications. Brase remains at the forefront of integrating AI and big data technologies to enhance mission-critical capabilities across multiple sectors.
Session Abstract – PMWC 2025 Silicon Valley
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