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Akshay Krishnamurthy

Ashkay Krishnamurthy
Adjunct Assistant Professor


Statistical Machine Learning, Interactive Learning, Reinforcement Learning


Professor Krishnamurthy's research interests are in machine learning and statistics. He is most interested in design and analysis of machine learning algorithms that judiciously acquire data in a feedback-driven manner, a paradigm referred to as interactive learning. His work in this area spans both unsupervised methods for exploratory data analysis and supervised methods for complex prediction problems. His recent focus is on sample-efficient exploration in reinforcement learning.


Ph.D., Computer Science, Carnegie Mellon University (2015). B.Sc., Electrical Engineering and Computer Science, University of California, Berkeley (2010). Akshay spent 2015-2016 as a Postdoctoral Researcher at Microsoft Research, New York City. In Fall of 2016, he joined the College of Information and Computer Sciences at the University of Massachusetts, Amherst as an Assistant Professor. In Summer 2018, he returned to Microsoft Research NYC, where he currently is a Principal Researcher.

Activities & Awards

Professor Krishnamurthy was awarded the National Science Foundation Graduate Research Fellowship during his Ph.D. in 2010. He also received the Best Student Paper Award at the Asilomar Conference on Signals, Systems and Computers in 2013.