Official Bio

Yisong Yue is a Professor of Computing and Mathematical Sciences at the California Institute of Technology. He was previously a research scientist at Disney Research. Before that, he was a postdoctoral researcher in the Machine Learning Department and the iLab at Carnegie Mellon University. He received a Ph.D. from Cornell University and a B.S. from the University of Illinois at Urbana-Champaign. Yisong previously served as Senior Program Chair of ICLR 2024 and General Chair of ICLR 2025, and currently serves on the ICLR board.

Yisong’s research studies how to scale learning across the full cycle from data to discovery. He develops AI systems that learn efficiently from diverse data, improve through inference and accumulated experience, and connect models to scientific workflows and experiments. A recurring question is how knowledge should be represented and refined so that learning becomes more efficient and cumulative. His prior work includes contributions to online learning and sequential decision-making, with applications spanning autonomous driving, Mars rover navigation, spinal cord stimulation, information retrieval, and sports analytics. His work has been recognized with multiple paper awards and nominations across machine learning and its applications.