Speaker Profile
PMWC LUMINARY AWARD
Catalyzed the billion-cell, AI-powered leap in single-cell and spatial biology, turning massive cell atlases into predictive models and launched the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease
M.D., Co-Founder, Biohub
Biography
Priscilla Chan is the co-founder of Biohub, where she leads efforts to advance biomedical research and technology to help scientists cure, prevent, or manage all disease. As a pediatrician, her firsthand experience caring for patients has fueled her commitment to accelerating scientific discovery. Priscilla’s leadership focuses on harnessing AI, building cutting-edge research tools, and funding innovative science to unlock new insights into human biology. She earned her bachelor’s degree in biology from Harvard University and her doctor of medicine from the University of California, San Francisco, where she also completed her pediatrics residency.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Christina Curtis, Stanford
PMWC Award Ceremony
• W.E. Moerner, Stanford
• Serge Saxonov, 10x Genomics
• Priscilla Chan, Biohub
Honoree Fireside
• Christina Curtis, Stanford
• Priscilla Chan, Biohub
Honoree Fireside: From Measurement to Meaning: What Data AI Still Needs in Biology
• Christina Curtis, Stanford
• W.E. Moerner, Stanford
• Serge Saxonov, 10x Genomics
Unraveling Tissue Architecture with Single-Cell & Spatial Multi-Omics
• Chair: Garry P. Nolan, Stanford
• Joakim Lundeberg, SciLifeLab
• Tae Hyun Hwang, Vanderbilt University Medical Center
• Michael Angelo, Stanford
Spatial Sequencing for Next Generation Pathology
• Eli Glezer, Singular Genomics
Precision Profiling of Cells: Insights from Imaging-Spectral Flow Cytometry and Single-Cell Multiomics
• Aruna Ayer, BD
Single-Cell Genotype and Targeted Gene Expression Assay
• Zivjena Vucetic, Mission Bio
Resolving Cellular Lineage and State in Tumors with High-Resolution Single-Cell Genomics
• Gary Schroth, Cellanome
From Cellular State to Disease Gene Prediction at Population Scale
• Kyle Farh, Illumina
Tumor Evolution & Clonal Dynamics: From Models to Monitoring
• Christina Curtis, Stanford
Personal Omics at Scale: What Longitudinal Profiles Add to Early Detection
• Michael Snyder, Stanford
Multi-Omics-Driven Early Detection: Beyond Liquid Biopsy
• Chair: Alex Aravanis, Moonwalk Biosciences
• Ash Alizadeh, Stanford
• Sara Ahadi, OmicsEra
AI in Molecular Diagnostics: Integrating Multi-Omics & Clinical Data
• Chair: Marina Sirota, UCSF
• Olivier Gevaert, Stanford
• Rebecca Critchley-Thorne, Castle Biosciences
• Lihua Jiang, Stanford
• Yunguan Wang, Cincinnati Children's
