Jason M. Klusowski
Scholar

Jason M. Klusowski

Google Scholar ID: 4HkhCjsAAAAJ
Assistant Professor, Department of Operations Research & Financial Engineering
statisticsprobabilitymachine learninginformation theory
Citations & Impact
All-time
Citations
939
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
35
list available
Resume (English only)
Academic Achievements
  • Serves on the editorial board of Bernoulli—Journal of the Bernoulli Society (Associate Editor starting January 2025)
  • Recipient of the Sloan Research Fellowship in Mathematics (2025)
  • Research supported by NSF CAREER grant DMS-2239448, NSF grant DMS-2054808, and TRIPODS DATA-INSPIRE Institute grant CCF-1934924
  • Multiple papers accepted in top venues including Annals of Statistics and ICLR
  • Recent collaborative publications on causal trees, high-dimensional inference via SLOPE, randomized greedy model search, robust transfer learning, decoding strategies for neural sequence models, and convergence rates for matching pursuit
Background
  • Assistant Professor in the Department of Operations Research & Financial Engineering (ORFE) at Princeton University
  • Participating faculty in the Center for Statistics and Machine Learning (CSML), Princeton AI Lab, and Princeton Language and Intelligence (PLI) initiative
  • Research interests broadly span statistical machine learning for complex, large-scale models, focusing on trade-offs between interpretability, statistical accuracy, and computational feasibility
  • Works on decision trees and ensemble learning (CART, random forests, stacking), neural networks (approximation theory and statistical properties), gradient-based optimization (ADAM, SGD), and large-sample behavior of statistical models (Lasso, Slope)
  • Recent research expanded to Transformers and large language models