Wenxuan Guo | 郭文轩
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Welcome to my homepage! I am a fifth year PhD student in Econometrics and Statistics at the University of Chicago, Booth School of Business, supervised by Tengyuan Liang and Panagiotis (Panos) Toulis. Before joining Booth, I earned my MS in Statistics at UChicago, advised by Lek-Heng Lim. I obtained my BS in Mathematics from Fudan University, advised by Shuqin Zhang. My research focuses on the modern design and analysis of randomized experiments in causal inference. On the design side, I study optimal experimental design through an optimization lens. On the analysis side, I develop more powerful randomization-inference methods using machine learning techniques. |
Research Interests
Causal inference: optimal experimental design and randomization inference
Statistical learning: online learning and optimal transport
Academic Service
Reviewers for major ML conferences (Neurips, ICML) and statistical journals
Teaching
Time-series Analysis for Forecasting and Model Building, 2025, TA
Applied Econometrics, 2024-2026, TA
Business Statistics, 2024-2026, TA
Modern Applied Optimization, 2023, TA
Multivariate Data Analysis via Matrix Decompositions, 2020, TA
Contact
Email: wxguo at chicagobooth dot edu
Address: 5807 S Woodlawn Ave, Chicago, IL 60637