Speaker Profile
Ph.D., Professor, Department of Genetics, Stanford
Biography
Michael Snyder is the Stanford W. Ascherman Professor and the Director of the Stanford Center of Genomics and Personalized Medicine. As a pioneer of Precision Medicine, Dr. Snyder has invented many technologies enabling the 21st century of healthcare including systems biology, RNA sequencing, and protein chip. Dr. Snyder has initiated the Big Data approach to healthcare through his work using omics to detect early-stage disease, including wearables to detect infectious diseases like COVID-19, and at-home microsampling to measure hundreds of molecules from a single drop of blood. He is the first researcher to gather petabytes of data on individuals, which is 1 million - 1 trillion times more data than the average clinician collects. He has published over 900 papers and is one of the most cited scientists. In terms of commercial success, Dr. Snyder has co-founded 17 companies (including 2 unicorns) with combined enterprise value of over $6 billion.
Talk
Personal Omics at Scale, What Longitudinal Profiles Add to Early Detection
Our present healthcare system focuses on treating people when they are ill rather than keeping them healthy. We have been using big data and remote monitoring approaches to monitor people while they are healthy to keep them that way and detect disease at its earliest moment presymptomatically.
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
