I am an Associate Professor in the CS department at Northwestern University, and by courtesy, the IEMS department. I'm a member of the Theory CS Group and my research interests are in designing efficient algorithms for problems in machine learning, high-dimensional data analysis and combinatorial optimization. I am particularly interested in using paradigms that go Beyond Worst-Case Analysis to obtain good algorithmic guarantees.

Currently I am a co-director (along with Jason Hartline ) of the Institute for Data, Economics, Algorithms and Learning (IDEAL), a NSF-funded collaborative institute across Northwestern, TTI Chicago and U of Chicago. My research is also supported by an NSF CAREER award, an NSF AITF award CCF-1637585 (with David Sontag) and the Google Research Scholar program .

Prior to joining Northwestern in Fall 2015, I was a Postdoctoral Researcher at the Courant Institute of Mathematical Sciences, NYU as a part of the Simons Collaboration on Algorithms and Geometry . I also spent two wonderful years as a Simons Postdoctoral Research Fellow with the Theory Group at Carnegie Mellon University. I obtained my PhD from Princeton University in Computer Science with Prof. Moses Charikar. Prior to that, I finished my bachelor's degree in CS from the Indian Institute of Technology Madras in 2007. I spent the first fifteen years of my life in Pondicherry, a beautiful town in Southern India, where Pi Patel hails from.

CS212: Mathematical Foundations of Computer Science. Fall 2015, 2016, 2017, Spring 2019, Fall 2019, Winter 2021.
CS496: Graduate Algorithms. Winter 2016, 2017, Spring 2018, Winter 2019.
CS 335: Intro to the Theory of Computation (co-taught with Jason Hartline) Fall 2020.
CS 496: Foundations of Reliability and Robustness in Machine Learning Fall 2021.
CS496: Theoretical Foundations of Computer Science Spring 2021.
CS496/ ECE495: Algorithmic Aspects of Network Inference (co-taught with Randall Berry). Spring 2020.
CS496: Topics in Theoretical Machine Learning. Winter 2018.
CS 496 : Beyond Worst-Case Analysis. Spring 2017.