Pravesh Kothari is an Assistant Professor of Computer Science at Carnegie Mellon University. Before joining CMU in 2019, he obtained his PhD from UT Austin and was a Research Instructor at the Institute for Advanced Study, Princeton and Princeton University from 2016-19. His research focuses on the computational complexity of random instances of algorithmic problems arising in various application areas including machine learning, statistics, cryptography, and statistical physics.
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Scientist.