Adithya Bhaskara

abhaskara@mit.edu

I am a Ph. D. student at MIT EECS. My research interests are in theoretical computer science, primarily in computational social choice theory, mathematical democracy, politics, and algorithmic game theory. I like to center my work at the intersection of theory and practice. I also have interests in algorithms and complexity.

I am very fortunate to be advised by Bailey Flanigan, and I am supported by the NSF Graduate Research Fellowship and the MIT EECS Great Educators Fellowship.

Previously, I completed my undergraduate studies in mathematics and computer science on a Boettcher Scholarship at the University of Colorado Boulder. There, I was advised by Rafael Frongillo and Huck Bennett. My senior thesis was advised by Bailey Flanigan and titled “In Randomness we Trust: Tradeoffs in Sortition.”

If you have classical music suggestions for me, please email mahler@mit.edu.

news

Sep 04, 2026	I will be visiting Niclas Boehmer at the Hasso Plattner Institute in Potsdam, Germany, from September 29 to October 9. I will also be attending the MIT-HPI AI & Creativity Workshop on October 5 and 6. Please get in touch if you’re in the area!
May 18, 2026	I am very excited to visit Dominik Peters at LAMSADE at the Université Paris Dauphine - PSL for the month of June! After that, I will be attending EC’26 in Rome.
Apr 27, 2026	I defended my undergraduate thesis! I am very thankful to my thesis commitee: Bailey Flanigan, Rafael Frongillo, Joshua Strayhorn, and Bo Waggoner.
Apr 12, 2026	I’m fortunate to be recognized as a 2026 NSF Graduate Research Fellow, and I’m very excited to pursue the research in my proposal titled “Candidates’ Incentives & Voting Rules: Bridging the Gap Between Theory & Practice!”
Apr 03, 2026	I’m excited to start my Ph. D. in Computer Science at MIT EECS in the fall! I am fortunate to be advised by Bailey Flanigan. I’d love to connect with other researchers in the greater-Boston area; please get in touch!

selected publications

A General Theory of Liquidity Provisioning for Prediction Markets

Adithya Bhaskara, Rafael M. Frongillo, Elias Lindgren, and Maneesha Papireddygari

In Proceedings of the 27th ACM Conference on Economics and Computation, to appear, Rome, Italy, 2026

Abs arXiv Bib PDF

Liquidity provisioning in automated market makers is the practice of recruiting third-party liquidity providers (LPs) to contribute assets to the market in exchange for fees skimmed off of trades. This paper introduces a general framework for liquidity provisioning in cost-function prediction markets. Our most general protocol allows LPs to submit or update an arbitrary cost function that specifies their liquidity over the entire price space. We show that our protocol encapsulates several notions of running market makers in parallel, which we prove to be equivalent. We also recover existing protocols from decentralized finance as special cases. In our protocol, liquidity can be expressed as a matrix-valued function, which we argue is necessary with three or more securities. Due to this inherent multidimensionality, the design of trading fees with more than three securities is nontrivial: we show that natural axioms on the design of these fees are incompatible.
@inproceedings{bhaskara2026general, title = {A General Theory of Liquidity Provisioning for Prediction Markets}, author = {Bhaskara, Adithya and Frongillo, Rafael M. and Lindgren, Elias and Papireddygari, Maneesha}, booktitle = {{Proceedings of the 27th ACM Conference on Economics and Computation, to appear}}, series = {EC'26}, year = {2026}, location = {Rome, Italy}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, }