I am also a member of Capital of Statistics.
My research interests origins in high dimensional data analysis, with particular applications on independence test, online learning, causal inference, and social network.
Online Sufficient Dimension Reduction Through Sliced Inverse Regression. Under review at Journal of Machine Learning Research
A Consistent Independence Test via Projected Mutual Information. Submitted
A Fast Conditional Independence Measure with Application to Causal Discovery. Submitted
Causal Inference for High Dimensional Mediation Models
Differentially Private Data Synthesization with Oracle Efficiency
Dynamic Social Network via Functional Data Analysis
STAT 200 (Elementary Statistics), Instructor, Summer 2017
STAT 500 (Introduction to Statistics), Teaching Assistant, Fall 2018
STAT 401 (Experiment Design and Methods), Instructor, Spring 2019
STAT 414 (Introduction to Probability Theory), Instructor, Summer 2019
Online learning for sufficient dimension reduction. The 12th China-R Conference. Beijing, China. May, 2019
A Consistent Independence Test via Projected Mutual Information. The 2019 Joint Statistical Meeting. Denver, CO. July, 2019
A Fast Conditional Independence Measure with Application to Causal Discovery. SMAC Talk, Penn State. State College, PA. Sep, 2019