Pravesh Kothari

Pravesh K Kothari received his PhD from the University of Texas at Austin in 2016 after a Bachelor's degree from Indian Institute of Technology, Kanpur. He is currently an Assistant Professor in the Computer Science Department at Princeton University. Earlier, from 2019-2023, he was an Assistant Professor in the Computer Science Department at Carnegie Mellon University. Dr. Kothari was a Research Instructor of Computer Science jointly hosted by the Institute for Advanced Study, Princeton and the Department of Computer Science at Princeton University from 2016-19.

Dr. Kothari's research interests span several topics in theoretical computer science such as convex optimization and applications to algorithm design, algorithms and lower bounds for statistical estimation and average-case combinatorial optimization, and spectral methods and connections to random matrix theory, coding theory and extremal combinatorics.

Dr Kothari is a recipient of the Presburger Award (2024), IIT Kanpur Young Alumnus Award (2023), Sloan Fellowship (2022), NSF Career Award (2021), and Simons Award for Graduate students in Theoretical Computer Science (2014).