Speaker Profile
M.D., Ph.D., MRCP, Professor, UCSF
Biography
Dr. Minnie M. Sarwal is an adult and pediatric trained transplant nephrologist who heads the kidney pancreas transplant program at UCSF for transplantation of patients with Type 1 Diabetes and renal failure. She has spearheaded new diagnostics for precision medicine to personalize diagnosis of transplant rejection. Her lab has been consecutively funded by the NIH for 30 yrs and leads in computational drug repuprosing and population scale EHR analysis to improve outcomes for chronic disease.
Sarwal is trained in India and the UK, competing her MD in India and advanced cliical training at Guys Hospital, London and Addenbrooke's Hospital in Cambridge. She earned her doctorate in molecular genetics at the University of Cambridge under her mentor Nobel Laureate Sydney Brenner.
Sarwal is an exited enterpreneur from Stanford and continues to do pivotal work to produce commercially available tests and new compunds for organ transplant rejection and chronic mutli-organ disease
Session Abstract – PMWC 2027 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
• Anne Wojcicki, 23AndMe
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
Quality and Quantity: Lesson from building 100M+ AI-Ready Single Cells
• Dan Rozelle, Rancho Biosciences
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
Scaling Data Generation for Foundational Biology Models with Single Cell Sequencing
• Alex Rosenberg, Parse Bioscience
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
