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 the forefront of precision medicine, utilizing machine learning and artificial intelligence to integrate diverse biomedical data typessuch as imaging, genomic, and clinical data. His work has implications for oncology, where he 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
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
