Hi! I am a PhD student in the Biostatistics at UC Berkeley, supervised by Prof. Lexin Li. Before coming to Berkeley, I received my Mphil degree in Mathematics from Hong Kong University of Science and Technology, where I was fortunately advised by Prof. Xinzhou Guo.  I received my bachelor's degree in Mathematics from the School of Mathematics at Shandong University in 2021, supervised by Prof. Xiaodong Yan.

My research interests include 

(1) General Statistical Methodology

• Nonregular Inference;

• Conditional Black Box Inference;

• Transfer Learning;

• Generative Model;

• Dynamic System;

• Nonlinear Dimension Reduction;

• Invariance Principle;

• NP-hard Problem in Statistics;

• Variance Reduction of MC/QMC; 

• ML for Subgroup Analysis;

• Testing of High Dimensional Subspace;

(2) Theory of Machine Learning, Statistics and Probability

• Optimal Theory of Nonregular Inference;

• Impossibility Theory of Nonreuglar Inference;

• Variational Principle;

• Nonlinear Expectation Theory;

• Limiting Theory of Non-I.I.D. Summations;

(3) Practical Application

• Brain Connectivity;

• Control Systems;

My email: shuoxunxu_ucb@berkeley.edu.