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
PersonalOmicsat 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 Honoree
• W.E. Moerner, Stanford – Nobel Laureate
• Priscilla Chan, Co-Founder & Co-CEO, Chan Zuckerberg Initiative
• Serge Saxonov, 10x Genomics
Fireside Chat
• Moderator: Christina Curtis, Stanford
• W.E. Moerner, Stanford
• Priscilla Chan, Chan Zuckerberg Initiative
Fireside Chat with 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
Tumor Evolution & Clonal Dynamics: From Models to Monitoring
• Chair: Christina Curtis, Stanford
Multi-Omics-Driven Early Detection: Beyond Liquid Biopsy
• Ash Alizadeh, Stanford
• Alex Aravanis, Moonwalk Biosciences
Personal Omics at Scale: What Longitudinal Profiles Add to Early Detection
• Michael Snyder, Stanford
AI in Molecular Diagnostics: Integrating Multi-Omics & Clinical Data
• Chair: Marina Sirota, UCSF
• Olivier Gevaert, Stanford
• Rebecca Critchley-Thorne, Castle Biosciences
Nanomechanical Signatures for Cancer Diagnostics: Insights from Tumor Biophysics
• Chair: Marija Plodinec, Artidis
