Vidya Muthukumar is an Assistant Professor in the Schools of Electrical and Computer Engineering, and Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Muthukumar’s broad interests are in game theory, online and statistical learning. She is particularly interested in designing learning algorithms that provably adapt in strategic environments, fundamental properties of overparameterized models, and fairness, accountability, and transparency in machine learning
Dr. Muthukumar received the B.Tech (with honors) degree from the Indian Institute of Technology, Madras and the Ph.D. degree in Electrical Engineering from University of California, Berkeley. She interned at IBM Research in the summer of 2018 as a Science for Social Good fellow. Before joining Georgia Tech, she spent a semester at the Simons Institute for the Theory of Computing as a research fellow for the program “Theory of Reinforcement Learning.” She is the recipient of a Simons-Berkeley Google Research Fellowship, IBM Science for Social Good Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award. Dr. Muthukumar serves on the senior program committee for COLT 2021.
In her spare time, Dr. Muthukumar enjoys singing Carnatic vocal music, playing the piano, and long-distance cycling.
- Apr 2021: Registration for “Theory of Overparameterized Machine Learning” workshop open! To be held April 20-21.
Feb 2021: Invited presentation at Stanford Statistics seminar (virtual).
Jan 2021: Two papers accepted at AISTATS 2021.
Oct 2020: From the Simons Institute newsletter: my article on “Inside the Program: Theory of Reinforcement Learning”.
Oct 2020: Invited presentation at Google Research (virtual).
Aug 2020: Graduated from UC Berkeley EECS! Here is a link to my doctoral dissertation.