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Akshay Krishnamurthy

Akshay Krishnamurthy
Assistant Professor
(413) 545-3216


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 interactive learning algorithms that judiciously acquire data in a feedback-driven manner. His work on interactive learning has spanned both unsupervised methods for exploratory data analysis and supervised methods for complex prediction problems. He has also worked on a number of other areas within machine learning including nonparametric statistics, anomaly detection, compressive sensing, and online learning.

Research Centers & Labs: 


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. Akshay will join the College of Information and Computer Sciences at the University of Massachusetts, Amherst in Fall 2016 as an Assistant Professor. 

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.