Sitan Chen

Assistant Professor of Computer Science, Harvard University

I am an Assistant Professor of Computer Science at Harvard's John A. Paulson School of Engineering and Applied Sciences, where I am an Associate Faculty at the Kempner Institute and a member of the Theory of Computation group, the ML Foundations group, and the Harvard Quantum Initiative.

I am broadly interested in algorithmic questions about learning from data. In recent years my work has revolved around two threads: developing the mathematical and scientific foundations of diffusion-based generative modeling, and building a theory of learning in quantum systems.

My work has been generously supported by an NSF CAREER award CCF-2441635, an NSF Small (joint with Anurag Anshu) CCF-2430375, an NSF SLES (joint with Boaz Barak and Sham Kakade) IIS-2331831, and the Harvard Dean's Competitive Fund for Promising Scholarship.

Previously I was an NSF postdoc at UC Berkeley under the wise guidance of Prasad Raghavendra. I received my PhD in EECS from MIT as a member of CSAIL and the Theory of Computation group. I was very fortunate to be advised by Ankur Moitra and supported by an MIT Presidential Fellowship and a PD Soros Fellowship. Prior to MIT, I studied mathematics and computer science as an undergraduate at Harvard, where I had the pleasure and honor of working with Salil Vadhan and Leslie Valiant.

Emailsitan (at) seas (dot) harvard (dot) edu

Sitan Chen

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