Speaker Profile
PMWC LUMINARY AWARD
Advanced AI for drug discovery and clinical risk prediction
Ph.D., Professor, MIT
Biography
Regina Barzilay is a pioneering leader in developing machine learning methods for drug discovery and clinical AI. .Her groundbreaking work has produced AI models for early cancer detection and therapeutic discovery that have redefined what is possible in clinical diagnostics and biomedical innovation. At MITs Computer Science and Artificial Intelligence Laboratory and as AI Faculty Lead for the Jameel Clinic, she has advanced methods that detect breast and lung cancer earlier and more accurately, forecast adverse drug effects before human trials, and accelerate the design of novel therapeutics.Her research blends cutting-edge machine learning with a commitment to responsible integration of AI into precision medicine, ensuring these technologies are safe, equitable, and impactful for patients worldwide. Barzilays contributions have earned her numerous honors, including the MacArthur Fellowship, election to the National Academy of Medicine, the National Academy of Engineering and recognition as one of the most influential voices shaping the future of AI in healthcare.
Talk
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Sharat Israni, UCSF
PMWC Award Ceremony
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Keynote: The Future of AI in Medical Imaging
• Curtis P. Langlotz, Stanford University
From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon Medical
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Fireside Chat
• Eric Horvitz, Microsoft
• Curtis P. Langlotz, Stanford University
Building Biological Digital Twins: Computational Models Linking Data to Disease Mechanisms
• Martin Stumpe, Danaher
Core AI Methods for Precision Medicine Foundations
• Chair: Sharat Israni, UCSF
• James Zou, Stanford University
• Regina Barzilay, MIT
• Olivier Gevaert, Stanford University
AI & Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
Radiomics & Radiogenomics: Precision Imaging for Oncology
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
• Maria del Mar Alvarez Torres, Columbia University
Clinical Workflow Integration & Decision Support in Imaging
• Chair: Sharat Israni, UCSF
• David S. Liebeskind, UCLA
• Rajesh Shah, UCSF
• Roxana Daneshjou, Stanford University
