Scholar
Sinho Chewi
Google Scholar ID: u_fAQO4AAAAJ
Yale University
Citations & Impact
Citations
2,419
H-index
23
i10-index
30
Publications
20
Co-authors
50
list available
Publications
Resume (English only)
Academic Achievements
- Writing a book on the complexity of log-concave sampling. Co-authored a monograph on statistical optimal transport with Jonathan Niles-Weed and Philippe Rigollet. Published several papers, including 'Sublinear iterations can suffice even for DDPMs' and 'Stability of the Kim–Milman flow map'.
Research Experience
- Participated in the Simons Institute program on Geometric Methods in Optimization and Sampling in Fall 2021, co-organized a working group on the complexity of sampling with Kevin Tian. Visited Jonathan Niles-Weed at New York University in Spring 2022. Was a research intern at Microsoft Research, supervised by Sébastien Bubeck and Adil Salim, in Summer 2022. Served as a postdoctoral researcher at the Institute for Advanced Study in Fall 2023 and Spring 2024.
Education
- Received B.S. in Engineering Mathematics and Statistics from the University of California, Berkeley in 2018; Ph.D. in Mathematics and Statistics from the Massachusetts Institute of Technology in 2023, advised by Philippe Rigollet.
Background
- Assistant Professor of Statistics and Data Science at Yale University. Research interests include the mathematics of machine learning and statistics, with a focus on applications of optimal transport.
