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:
Victor Velculescu, Johns Hopkins
PMWC Award Ceremony
• Klaus Pantel, UKE & ELBS
• Daniel De Carvalho, University of Toronto
Keynote
• Klaus Pantel, UKE & ELBS
From Mutation to Methylation: The Next Wave of Liquid Biopsy Biomarkers
• Chair: Victor Velculescu, Johns Hopkins
• Daniel De Carvalho, University of Toronto
• Manel Esteller, Sant Pau Research Institute
Advancing Minimal Residual Disease (MRD) Detection through cfDNA and cfRNA Profiling
• Chair: Luis Diaz, MSKCC
• Anne-Renee Hartman, Adela
• Klaus Pantel, UKE & ELBS
AI-Informed Biomarker Trials: Turning Early Detection Signals into Clinically Actionable Designs
• Chair: Manish Kohli, University of Utah
• Luis Diaz, MSKCC
• Amoolya Singh, DELFI Diagnostics
• Peter Bach, DELFI Diagnostics
Fragmentomics for Early Detection: End Motifs and Library Prep
• Varsha Rao, Claret Bioscience
Integrating Genetic Risk with Early Detection: A Precision Prevention Framework for Cardiovascular Disease
• Giordano Botta, Allelica
Role of AI in Liquid Biopsies and Cancer Detection
• Chair: Amoolya Singh, DELFI Diagnostics
• Matthew Baker, Dxcover
