Dr. Sueyeon Chung

Biography

SueYeon Chung is an Assistant Professor in the Department of Physics at Harvard University, with a joint appointment as an Institute Investigator at the Kempner Institute for the Study of Natural and Artificial Intelligence at the Center for Brain Science. She leads a research group with interests in the intersection of physics, neuroscience, and artificial intelligence. Chung obtained her Ph.D. in applied physics from Harvard University, and her B.A. in physics and mathematics from Cornell University. Her research focuses on the exploration of fundamental principles of neural computation in both biological and artificial neural networks (ANNs), integrating concepts from statistical physics, machine learning, and neuroscience. Chung's work aims to understand how neural systems encode, transform, and process information through complementary approaches, developing theoretical frameworks to model the geometry and dynamics of neural population activity. Additionally, she investigates how ANN-based models can emulate biologically inspired learning rules to uncover the principles underlying both biological and artificial intelligence. Her interdisciplinary approach seeks to bridge neuroscience and AI, revealing shared structures and functions in both biological and artificial systems.

Research Interests