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