Wenxuan Guo | 郭文轩
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Welcome to my homepage! I am a final 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 combine probabilistic modeling and optimization to develop optimal experimental designs. On the analysis side, I develop reliable randomization-inference methods that incorporate machine learning for A/B experiments, high-dimensional data, and panel data. I will be on the job market in 2026-2027. |
Research Interests
Experimental Design: optimal experimental design, covariate balance
Causal Inference: randomization inference, design-based inference
Statistical Learning: online learning, optimal transport
Academic Service
Reviewer for major ML conferences (NeurIPS, ICML, AAAI) and statistical journals
Teaching
Applied Econometrics, 2024-2026, TA and Guest Lecturer
Business Statistics, 2024-2026, TA
Time-series Analysis for Forecasting and Model Building, 2025, 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