Manish Raghavan

PhD Student, Cornell University

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About Me

I'm a second-year PhD student 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. I received my B.S. in Electrical Engineering and Computer Science from UC Berkeley in May 2016. My research interests include the application of CS theory to problems in other fields, including economics and sociology. I'm also a member of the Mechanism Design for Social Good reading group.


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 I have served as a teaching assistant for a some of the most fun classes at 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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