Ankit Pensia

Ankit Pensia

Postdoctoral Researcher, IBM Research

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.

Program Visits

Modern Paradigms in Generalization, Fall 2024, Research Fellow
Computational Complexity of Statistical Inference, Fall 2021, Visiting Graduate Student
Website Opens new tab
Fields
learning theory, machine learning, robust statistics, differential privacy