Manish Raghavan

I'm a postdoctoral fellow at the Harvard Center for Research on Computation and Society (CRCS), working with Cynthia Dwork. I recently completed my PhD at the Computer Science department at Cornell University, where I was incredibly fortunate to be advised by Jon Kleinberg. I'll be an assistant professor at the MIT Sloan School of Management and department of Electrical Engineering and Computer Science starting Fall 2022. I'm also on the International Advisory Board of Sai University in Chennai. During graduate school, I was supported by an NSF GRFP award, a Microsoft Research PhD Fellowship, and a Cornell University 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, with a particular focus on the use of algorithmic tools in the hiring pipeline. I'm also a member of Cornell's Artificial Intelligence, Policy, and Practice initiative and the Mechanism Design for Social Good working group on Bias, Discrimination, and Fairness. In the past, I played club soccer for for Cornell Mundial FC and UC Berkeley Men's Club Soccer.


On Fairness and Calibration

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

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

Other Writing

Talks and Workshops

TA Experience

INFO 1260/CS 1340: Choices and Consequences in Computing

taught by Jon Kleinberg and Karen Levy, Spring 2021

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