Speaker Profile
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 MIT’s 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. Barzilay’s 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.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Sharat Israni, UCSF
PMWC Award Ceremony
• Regina Barzilay, MIT
• Joe Petro, Microsoft (Dragon)
• Curtis P Langlotz, Stanford
Keynote
• Curtis P Langlotz, Stanford
From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P Langlotz, Stanford
Fireside Chat
• Chair: Eric Horvitz, CSO, Microsoft
• Curtis P Langlotz, Stanford
Core AI Methods for Precision Medicine Foundation
• Chair: Sharat Israni, UCSF
• James Zou, Stanford
• Regina Barzilay, MIT
• Olivier Gevaert, Stanford
AI and Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
Radiomics & Radiogenomics: Harnessing Precision Imaging for Oncology
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
