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 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
