Biography

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 DMS-1915932 (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 spouse is a behavioral marketing PhD student at Wharton. I am (slowly) learning Korean from her.

CV

My curriculum vitae is available here.

Research Interests

I am broadly interested in statistical learning theory, though most of my recent work has focused on the study and design of prediction algorithms for regression and classification.

• decision tree learning (e.g., random forests, CART)
• neural networks (approximation and statistical properties)

Students

• Peter Tian (Princeton)
• Ryan Theisen (UC, Berkeley)

Contact

Email: jason [dot] klusowski [at] princeton [dot] edu
Office: 327 Sherrerd Hall, Charlton Street, Princeton, NJ 08544