Olivier Gevaert

Olivier Gevaert is an Associate Professor at Stanford University with dual appointments in the Department of Medicine (Biomedical Informatics) and the Department of Biomedical Data Science. He leads interdisciplinary research at the intersection of machine learning and biomedical data fusion, with significant contributions to cancer genomics, imaging biomarkers, and synthetic biomedical data generation. His work spans multiple Stanford institutes including Bio-X, Cancer Institute, and Neurosciences Institute.

His research focuses on:

• Biomedical data fusion across molecular, cellular, and tissue scales
• Multi-omics integration for cancer driver gene discovery
• Imaging genomics/radiogenomics
• Medical digital twin frameworks
• Synthetic data generation for machine learning

Key awards include Faculty Fellow at Stanford Center at Peking University and fellowships from King Baudouin Foundation and Belgian American Educational Foundation. His lab has produced transformative tools like Moonlight, EpiMix, SEQUOIA, and RNA-GAN. He teaches foundational courses in biomedical data science and machine learning approaches.