Sivaraman Balakrishnan Assistant Professor, Department of Statistics
Carnegie Mellon University
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I am an Assistant Professor in the Department of Statistics at Carnegie Mellon, and an affiliated faculty member of the Machine Learning Department in the School of Computer Science.

In the recent past, I was a postdoctoral researcher in the Department of Statistics, UC Berkeley, under the able guidance of Martin Wainwright and Bin Yu. Before that I was a PhD student in the Language Technologies Institute (a part of the School of Computer Science) at Carnegie Mellon University, advised by Jaime Carbonell. Through the course of my PhD, I was also extremely fortunate to have worked with John Lafferty, Alessandro Rinaldo, Aarti Singh and Larry Wasserman.

I am broadly interested in statistical machine learning. Most recently, I have been working on understanding certain hypothesis testing problems, computationally efficient methods for robust statistics, and algorithms for solving non-convex estimation problems. I am a member of the CMU Topological Statistics group.

Selected papers All papers

PhD Thesis

Word Cloud

Here is word cloud from paper titles. It approximately summarizes most of my current research interests.