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 University
PMWC Award Ceremony
• Klaus Pantel, University Medical Center Hamburg-Eppendorf / ELBS
• Daniel De Carvalho, University of Toronto
Keynote: Early Detection of Cancer by Multimodal Liquid Biopsy Analysis
• Klaus Pantel, UKE / ELBS
From Mutation to Methylation: The Next Wave of Liquid Biopsy Biomarkers
• Chair: Victor Velculescu, Johns Hopkins University
• Daniel De Carvalho, University of Toronto
• Manel Esteller, Sant Pau Research Institute
• Gordon Sanghera, Oxford Nanopore Technologies
Advancing Minimal Residual Disease Detection Through cfDNA & cfRNA Profiling
• Chair: Luis Diaz, Memorial Sloan Kettering Cancer Center
• Anne-Renee Hartman, Adela
• Klaus Pantel, UKE / ELBS
AI-Informed Biomarker Trials: Turning Early Signals into Actionable Designs
• Chair: Manish Kohli, University of Utah
• Luis Diaz, MSKCC
• Eric Klein, GRAIL
• Peter Bach, DELFI Diagnostics
• Samuel Levy, ClearNote Health
Role of AI in Liquid Biopsies & Cancer Detection
• Chair: Amoolya Singh, DELFI Diagnostics
• Matthew Baker, Dxcover
• Pankaj Vats, NVIDIA
Fragmentomics for Early Detection
• Varsha Rao, Claret Bioscience
Integrating Genetic Risk with Early Detection
• Giordano Botta, Allelica
Metagenomic Diagnostics & Global Pathogen Surveillance
• Charles Chiu, UCSF
AI-Driven Host–Pathogen Signatures from Plasma cfDNA
• Sivan Bercovici, Karius
Ultra-Sensitive Multimodal Liquid Biopsy for Early Cancer Detection
• Atul Sharan, CellMax Life
AI-Enhanced Proteomic Signatures for Early Cancer Detection
• Diana Abdueva, Aqtual
