Manish Raghavan

PhD Candidate, Cornell University

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About Me

I'm a fourth-year PhD candidate in the Computer Science department at Cornell University, where I have the great fortune of being advised by Jon Kleinberg. I'm supported by an NSF GRFP award and a Microsoft Research PhD Fellowship. I received my B.S. in Electrical Engineering and Computer Science from UC Berkeley in May 2016. My primary interests lie in the application of computational techniques to domains of social concern, including algorithmic fairness and behavioral economics. I'm also a member of Cornell's Artificial Intelligence, Policy, and Practice initiative and the Mechanism Design for Social Good reading group. In my spare time, I play for Cornell's Mundial FC club soccer team and help organize Theory Tea at Cornell.


On Fairness and Calibration

with Geoff Pleiss, Felix Wu, Jon Kleinberg, and Kilian Q. Weinberger

The Thirty-First Annual Conference on Neural Information Processing Systems (NIPS 2017)

Talks and Workshops


I love teaching, and as an undergraduate I served as a teaching assistant for a some of the most fun classes at UC Berkeley.

CS 170: Efficient Algorithms and Intractable Problems

taught by Umesh Vazirani and Alessandro Chiesa, Spring 2016

CS 170: Efficient Algorithms and Intractable Problems

taught by Prasad Raghavendra and Sanjam Garg, Fall 2015

CS 70: Discrete Mathematics and Probability Theory

taught by Umesh Vazirani, Spring 2015

CS 61B: Data Structures

taught by Jonathan Shewchuk, Spring 2014

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