Akshay Krishnamurthy is a principal researcher at Microsoft Research, New York City, after having spent two years as an assistant professor at UMass Amherst and a year as a postdoctoral researcher at Microsoft Research, NYC. He received his PhD from Carnegie Mellon University, advised by Aarti Singh and his undergraduate degree in EECS at UC Berkeley. His research interests are in machine learning and statistics, and specifically interactive learning, or learning settings that involve feedback-driven data collection. His recent interests revolve around decision making problems with limited feedback, including contextual bandits and reinforcement learning.
- Theory of Reinforcement Learning, Fall 2020. Visiting Scientist.