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Indian-origin computer scientist Gautam Kamath wins Gödel Prize
Award recognizes landmark research in theoretical computer science ahead of Kamath’s move to NYU.
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Pranavi Sharma - Sun, 07, Jun 2026
- 04:06 EDT
- 41
Gautam Kamath / X
Indian-origin computer scientist Gautam Kamath has been awarded the 2026 Gödel Prize, one of the highest honors in theoretical computer science, for a landmark research paper on robust estimation in high-dimensional data, according to an announcement made June 4.
Kamath, who will join New York University's Courant Institute of Mathematical Sciences as a faculty member in computer science this fall, received the award from the European Association for Theoretical Computer Science (EATCS) and the Association for Computing Machinery's Special Interest Group on Algorithms and Computation Theory (ACM SIGACT).
Presented annually since 1993, the Gödel Prize recognizes outstanding papers in theoretical computer science. Kamath shares the 2026 honor with co-authors Ilias Diakonikolas, Daniel Kane, Jerry Li, Ankur Moitra and Alistair Stewart for their paper, “Robust Estimators in High-Dimensions without the Computational Intractability.”
The prize is named after mathematician Kurt Gödel in recognition of his contributions to mathematical logic and is widely regarded as the most prestigious award in theoretical computer science.
The recognition adds to a year of notable achievements for Kamath. Last month, he received the 2026 Presburger Award from the European Association for Theoretical Computer Science.
Named after Polish mathematician Mojżesz Presburger, the award is presented annually to “a young scientist for outstanding contributions in theoretical computer science, documented by a published paper or a series of published papers.”
Kamath will join NYU from the Cheriton School of Computer Science at the University of Waterloo in Canada. He also serves as a faculty member at the Vector Institute and holds the position of Canada CIFAR AI Chair.
His research focuses on trustworthy algorithms, statistics and machine learning, with particular emphasis on issues such as data privacy and robustness.
Kamath earned a Bachelor of Science degree from Cornell University and a doctorate from the Massachusetts Institute of Technology.
He also leads The Salon, a research group focused on Statistics, Algorithms, Learning and Optimization. The group will be based in New York University's Computer Science Department beginning in fall 2026.
The Gödel Prize recognizes work that advances the foundations of theoretical computer science. Kamath’s award-winning research addresses challenges in developing robust statistical estimators for high-dimensional data while avoiding computational barriers, a contribution that has drawn significant recognition within the field.
His dual recognition this year through both the Gödel Prize and the Presburger Award highlights his contributions to theoretical computer science as he prepares to begin his appointment at New York University this fall.
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