Frederic Koehler

Assistant Professor
Department of Statistics, the Data Science Institute (DSI), and the College

Frederic Koehler
Searle 203


Frederic was a Motwani Postdoctoral Fellow at Stanford University. Prior, he was a research fellow in UC Berkeley’s Simons Institute in the Program on Computational Complexity of Statistical Inference. He received his PHD in Mathematics and Statistics from MIT, where he was coadvised by Ankur Moitra and Elchanan Mossel. Before that, he received his undergraduate degree in Mathematics at Princeton University.


His current research interests include computational learning theory and related topics: probability theory, high-dimensional statistics, optimization, related aspects of statistical physics, etc. In particular, he is very interested in learning and inference in graphical models.

Last update: January 2024