I am an assistant professor in the Department of Operations Research & Financial Engineering at Princeton University. Previously, I was an assistant professor in the Department of Statistics at Rutgers University, New Brunswick. I received my PhD in Statistics and Data Science from Yale University in 2018, where I was fortunate to have been mentored by Andrew Barron. From 2017 to 2018, I was a visiting graduate student in the statistics department at Wharton.

My research is partially supported by NSF CAREER DMS-2239448, NSF DMS-2054808 (PI), and TRIPODS DATA-INSPIRE Institute CCF-1934924 (Senior Personnel). Thank you, NSF!

I am a participating faculty at the Center for Statistics and Machine Learning (CSML) at Princeton and senior personnel on TRIPODS DATA-INSPIRE Institute at Rutgers.


My curriculum vitae is available here (December 2022).

Research Interests

I am broadly interested in statistical machine learning for large scale models. My work seeks to describe the tensions among interpretability, statistical accuracy, and computational feasibility.

  • decision tree learning (e.g., random forests, CART, C4.5)
  • neural networks (approximation and statistical properties)
  • asymptotic behavior of convex programs (e.g., LASSO, SLOPE)


If you are a student at Princeton and are interested in talking about research, please email me. Due to the large number of outside requests, I cannot respond to all emails.


Email: jason [dot] klusowski [at] princeton [dot] edu
Phone: (609) 258-5305
Office: 327 Sherrerd Hall, Charlton Street, Princeton, NJ 08544