Jason Klusowski
Also known as Jason M. Klusowski
Jason Klusowski is a Princeton operations researcher whose work connects statistical learning, decision trees and language-model decoding. He grew up in Winnipeg, earned a statistics and mathematics degree at Manitoba and a doctorate in statistics and data science at Yale, then served as an assistant professor at Rutgers before joining Princeton. In 2020, he authored Sparse Learning with CART, which studies regression trees; in 2025, he coauthored Decoding Game, a theory of text generation with language models. He received an NSF CAREER award and Princeton’s Wentz Junior Faculty Award in 2023 and a Sloan Research Fellowship in mathematics in 2025. Since July 2026, he is an associate professor with tenure in Princeton’s Department of Operations Research and Financial Engineering.
- Now at
- Princeton University
- Works
- 52
Publication numbers from OpenAlex, as of 27 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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By 2019
Manitoba, Yale and Rutgers
Raised in Winnipeg, he earns a B.S. (hons.) in statistics and mathematics from the University of Manitoba in 2013 and a Ph.D. in statistics and data science from Yale in 2018. By 2019, he is an assistant professor in Rutgers’ Department of Statistics, where he studies statistical learning and network analysis.
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2020
Sparse Learning with CART
In 2020, he authors Sparse Learning with CART, which studies the statistical properties of regression trees built with CART. The paper finds that CART with cost-complexity pruning achieves an optimal complexity/goodness-of-fit tradeoff when tree depth scales with the logarithm of the sample size.
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2023
An NSF CAREER award
He receives an NSF CAREER award in 2023 for his project, Statistical learning with recursive partitioning: Algorithms, accuracy and applications.
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2023
Howard B. Wentz award
In 2023, he receives Princeton Engineering’s Howard B. Wentz, Jr. Junior Faculty Award.
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2025
A Sloan Research Fellowship
He receives a Sloan Research Fellowship in mathematics in 2025.
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2025
Decoding Game for language models
With Sijin Chen and Omar Hagrass, he coauthors Decoding Game in 2025, a zero-sum framework for language-model text generation. It shows that truncation-normalization methods are first-order approximations to the optimal strategy under the game’s implicit regularization.
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Since July 2026
Associate professor at Princeton
After Rutgers, he joins Princeton’s Department of Operations Research and Financial Engineering. He becomes an associate professor with tenure there, effective July 1, 2026.
Career
- Since 2026Princeton UniversityAssociate Professor with Tenure
- Rutgers UniversityAssistant Professor
Education
- 2018Yale UniversityPh.D. in statistics and data science
- 2013University of ManitobaBS (hons.) in Statistics and Mathematics
Sources and credits
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- Fall 2019 SIP Seminars – INSPIRE Lab | Rutgers University
- Jason M. Klusowski
- Sparse Learning with CART
- Seven engineering faculty members receive NSF CAREER awards - Princeton Engineering
- Congratulations to the 2023 NSF CAREER Awardees!!
- Junior faculty awards recognize excellence in research and teaching - Princeton Engineering
- Four Princeton professors win Sloan Awards, offers easier way to acquire research funding - The Princetonian
- Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
- Jason Klusowski - Princeton Engineering


