
Vidya Muthukumar
UC Berkeley
Vidya Muthukumar is a final year PhD candidate at UC Berkeley, advised by Anant Sahai. Her broad interests are in online decision making and game theory. She is particularly interested in designing learning algorithms that provably adapt in limited-information feedback, Markov decision processes and strategic environments. Additional interests include fundamental properties of overparameterized models, and fairness, accountability, and transparency in machine learning.
After her stint at the Simons Institute, Vidya will join Georgia Tech's Departments of Electrical Engineering and Industrial and Systems Engineering as a tenure-track assistant professor.
Program Visits
- Theory of Reinforcement Learning, Fall 2020. Google Research Fellow.
- Information Theory, Spring 2015. Visiting Graduate Student.