Speaker Profile
Ph.D., Professor, Vanderbilt U. Medical Ctr.
Biography
Tae Hyun Hwang a national leader in the use of artificial intelligence to improve cancer diagnosis and treatment, will lead a new Molecular AI initiative within the Section of Surgical Sciences at Vanderbilt University Medical Center. He was jointly recruited by the Department of Surgery and the newly established Center for Computational Systems Biology (CCSB) at Vanderbilt University. Artificial intelligence is rapidly transforming our ability to solve complex biomedical problems, said Seth Karp, MD, the H. William Scott Jr. Professor of Surgery and chair of the Section of Surgical Sciences. Dr. Hwang is uniquely capable of developing approaches that use this technology to personalize the care of surgical patients, with an initial emphasis on oncology and transplantation, Karp said. Hwang joins the Vanderbilt faculty as a professor of Surgery. He was recruited from the Mayo Clinic in Jacksonville, Florida, where he built and led the AI in Oncology Research Program. His work focused on leveraging AI and machine learning to advance precision oncology, immuno-oncology and cellular cancer therapy.
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
