Biography

I will be joining the Department of Operations Research & Financial Engineering at Princeton University in fall 2020. 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 senior personnel on TRIPODS DATA-INSPIRE Institute at Rutgers, which is a new, trans-disciplinary institute on data science for intelligent systems and people interaction.

My wife 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)
• latent variable models (e.g., mixture models)

Students

I have the privilege of working with the following extremely talented students.

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

Contact

Email: jason [dot] klusowski [at] princeton [dot] edu