I am an Assistant Professor in Department of Statistics, University of Florida. I am broadly interested in high-dimensional statistics and statistical machine learning. focusing on learning under data heterogeneity and complex dependence.
Previously, I was a postdoc in Princeton ORFE mentored by Professor Jianqing Fan. I completed my PhD from Department of Statistics, Stanford University, supervised by Professor Sourav Chatterjee.
Representative Publications:
A. Machine Learning:
Late fusion Multi-task Learning for Semiparametric Inference with Nuisance Parameters. (with Yongzhuo Chen, Muxuan Liang) Journal of the American Statistical Association, major revision requested. [Link]
Generalization error of min-norm interpolators in transfer learning. (with Yanke Song, Kenneth Gu, Pragya Sur) Annals of Statistics, under revision. [Link]
Deep Neural Networks For Nonparametric Interaction Models With Diverging Dimension. (with Jianqing Fan, Debarghya Mukherjee). Annals of Statistics. [Link]
B. High-dimensional Statistics:
Causal inference under interference: computational barriers and algorithmic solutions. (with Subhabrata Sen) Annals of Statistics, major revision requested. [Link]
Causal effect estimation under network interference with mean-field methods. (with Subhabrata Sen) Annals of Statistics. [Link]
Nonsense associations in Markov random fields with pairwise dependence. (with Rajarshi Mukherjee, Elizabeth Ogburn) Biometrika. [Link]
