Dr. Sitan Chen

Biography

Sitan Chen is an Assistant Professor in the Department of Computer Science at Harvard University. He is a member of the Theory of Computation group and the ML Foundations group, as well as the Harvard Quantum Initiative. His research predominantly focuses on algorithmic questions in learning from data. In recent years, he has led significant studies in the science and theory of localization-based generative modeling, including diffusion models, masked language models, and autoregressive models. He has designed quantum protocols for learning about the physical universe. His work has received substantial support through various NSF awards, including the CAREER award and collaborations with other notable researchers. Before his current role, he completed a postdoctoral fellowship at UC Berkeley under the guidance of Prasad Raghavendra after earning his PhD in Electrical Engineering and Computer Science from MIT. Throughout his academic journey, he has worked with esteemed colleagues and has received several fellowships, demonstrating his commitment to advancing knowledge in his field.

Research Interests

Experience