SueYeon Chung
Assistant Professor of Physics and of Applied Mathematics, Harvard University
Institute Investigator, Kempner Institute for Natural & Artificial Intelligence
Faculty Affiliate, Center for Brain Science
My research lies at the intersection of physics, neuroscience, and machine learning. My group develops theoretical frameworks to understand how populations of neurons represent and compute information. We study the geometry of neural population codes, linking statistical physics and manifold capacity theory with experimental neuroscience and artificial intelligence. This work aims to uncover the principles of efficient and flexible representations in the brain and to inform the design of next-generation AI systems.