Ankit Pensia
Research Fellow,
Simons Institute
Ankit is broadly interested in learning theory and statistics. In particular, he enjoys thinking about robust statistics and related notions of stability of algorithms.
Earlier, he was a Herman Goldstine Postdoctoral Fellow at IBM Research, before which he completed his PhD at University of Wisconsin-Madison, advised by Po-Ling Loh, Varun Jog, and Ilias Diakonikolas.