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 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 and Co-Founder and Co-CEO, Chan Zuckerberg Initiative

Biography
Priscilla Chan is the co-founder and co-CEO of the Chan Zuckerberg Initiative, 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 1: Next-Gen Tx - March 6 2.15 P.M.-4.15 P.M.


Track Chair:
Christina Curtis, Stanford

PMWC Award Ceremony
• W.E. Moerner, Stanford
• Serge Saxonov, 10x Genomics
• Priscilla Chan, CZI

Honoree Fireside
• Chair: Christina Curtis, Stanford
• W.E. Moerner, Stanford
• Priscilla Chan, CZI
• Serge Saxonov, 10x Genomics

Unraveling Tissue Architecture with Single-Cell & Spatial Multi-Omics
• Joakim Lundeberg, SciLifeLab
• Garry P. Nolan, Stanford
• Tae Hyun Hwang, Vanderbilt University Medical Center
• Michael Angelo, Stanford

Spatial Sequencing for Next Generation Pathology
• Jeremy Schurman, 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

Tumor Evolution & Clonal Dynamics: From Models to Monitoring
• Chair: 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
• Ash Alizadeh, Stanford
• Alex Aravanis, Moonwalk Biosciences
• 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 Lei, Stanford
• Yunguan Wang, Cincinnati Children's

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