People

Sinho Chewi is an Assistant Professor of Statistics and Data Science at Yale University. He received his PhD in Mathematics and Statistics from the Massachusetts Institute of Technology in 2023 under the supervision of Philippe Rigollet. He works broadly on the mathematics of machine learning and statistics, with a focus on applications of optimal transport to computational problems arising in these fields.

What do you do with Data Science?

I work on applications of optimal transport to the analysis and design of algorithms for machine learning and statistics. In particular, my work has provided theoretical foundations for Markov chain Monte Carlo methods, variational inference, and score-based diffusion models. I have co-authored two monographs: one on statistical optimal transport (together with Jonathan Niles-Weed and Philippe Rigollet), and the other on the complexity of log-concave sampling (in-progress). In the future, I would like to continue studying the rigorous underpinnings of modern data science.

Edit profile