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 theforefront of precision medicine, utilizing machine learning and artificialintelligence to integrate diverse biomedical data typessuch as imaging, genomic, and clinical data. His work has implications for oncology, wherehe 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 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
Getting Real Results with AI: Better Molecules, Smarter Devices, Faster Innovation
• Martin Stumpe, Danaher
Keynote: AI Tools for Cancer Diagnostics and Treatment
• Regina Barzilay, MIT
Core AI Methods for Precision Medicine Foundations
• Chair: Sharat Israni, UCSF
• James Zou, Stanford University
From Multimodal Data to Clinical Digital Twins: Linking Imaging, Omics, and Decisions
• Stephen Quake, Stanford
AI & Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
AI-Enhanced Imaging: Radiomics, Radiogenomics, and Simulation
• 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
• Mohammad Alexanderani, U Pitt
AI-Powered Serverless HPC for Scientific Discovery
• Fengbo Ren, Fovus
