Manish Raghavan

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Manish Raghavan

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Affiliated MIT Sloan Group

MIT Department

Manish Raghavan is the Drew Houston (2005) Career Development Professor and an Assistant Professor of Information Technology at the MIT Sloan School of Management.

Manish was most recently a postdoctoral fellow at the Harvard Center for Research on Computation and Society (CRCS), working with Cynthia Dwork.

He completed his PhD at the computer science department at Cornell University, advised by Jon Kleinberg. His research studies the impacts of computational tools on society with a focus on decision-making, behavioral economics, and hiring algorithms.

Publications

"Evaluating Multiple Models Using Labeled and Unlabeled Data."

Shanmugam, Divya, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, and Emma Pierson, Working Paper. October 2025.

"Synthetic Census Data Generation via Multidimensional Multiset Sum."

Dwork, Cynthia, Kristjan Greenewald, and Manish Raghavan. Journal of Privacy and Confidentiality Vol. 15, No. 2 (2025).

"Double Machine Learning for Causal Inference under Shared-State Interference."

Hays, Chris and Manish Raghavan, Working Paper. April 2025. ICML 2025.

"What Constitutes a Less Discriminatory Algorithm?"

Laufer, Benjamin, Manish Raghavan, and Solon Barocas, Working Paper. March 2025. ACM Symposium on CS and Law 2025.

"Homogeneous Algorithms Can Reduce Competition in Personalized Pricing."

Jo, Nathanael, Kathleen Creel, Ashia Wilson, and Manish Raghavan, Working Paper. March 2025.

"Evaluating the Impacts of Swapping on the US Decennial Census."

Ballesteros, Maria, Cynthia Dwork, Gary King, Conlan Olson, and Manish Raghavan, Working Paper. February 2025. ACM Symposium on CS and Law 2025.

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