Speaker Profile
Ph.D., CEO and Co-Founder, Parse Biosciences
Biography
Alex cofounded Parse Biosciences and leads the organization as its Chief Executive Officer. Alex is an experienced leader and technologist with a track record of pushing innovation in next-generation sequencing, machine learning, and predictive models of biology. Alex co-invented the single cell technology that inspired Parse’s foundational Evercode™ platform. Alex is an active technical leader and inventor, with multiple publications in high-profile journals, such as Cell and Science, and several patents.
Alex received a PhD in Electrical Engineering from the University of Washington and a BSE in Electrical Engineering from the University of Michigan.
Talk
Foundational models built with single cell data hold enormous promise for accelerating drug discovery, but are limited by available training data. Here we show how to overcome current data scaling limitations and show applications of groundbreaking datasets like Tahoe-100M to learning new biology.
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
