Vidya Muthukumar

Harold R. and Mary Anne Nash Early Career Professor
Assistant Professor


Contact

 Centergy 5213 and Groseclose 336
  Contact

Education

  • Ph.D. Electrical Engineering and Computer Sciences (2020), University of California, Berkeley
  • B.Tech. Electrical Engineering (2014), Indian Institute of Technology, Madras

Expertise

  • Machine Learning
  • Statistics
  • Game Theory
  • Reinforcement learning

About

Vidya Muthukumar is a Harold R. and Mary Anne Nash Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial Engineering and the School of Electrical and Computer Engineering. Prior to joining Georgia Tech, she spent Fall 2020 at the Simons Institute as a Simons-Berkeley Research Fellow for the program on Theory of Reinforcement Learning.

Dr. Muthukumar received her PhD degree in the EECS Department, University of California at Berkeley, Berkeley, CA, USA. Her 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. Her honors include the Simons-Berkeley Research Fellowship, IBM Research Science for Social Good Fellowship, the SanDisk Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award. She served as the Co-President of UC Berkeley Women in Computer Science and Engineering in 2017. Dr. Muthukumar serves on the senior program committee for COLT 2021.