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 experimental design, causal inference, and sequential decision-making. I bring advanced learning theory and methods to real-world applications in complex systems. I am on the 2026-2027 job market. |
Research Interests
Experimental Design: optimal experimental design, covariate balance, time-series experiments
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