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Ruoxuan Xiong Address: 581 PAIS Building, 36 Eagle Row, Atlanta, 30322 Email: ruoxuan.xiong@emory.edu CV | Google Scholar | GitHub |
About
I am an Assistant Professor in the Department of Data and Decision Sciences at Emory University since Fall 2021, with courtesy appointments in the Goizueta Business School and the Department of Economics. Before joining Emory, I was a postdoctoral researcher at the Stanford Graduate School of Business from 2020 to 2021. I received my Ph.D. in Management Science and Engineering from Stanford University in 2020 and my B.S. degrees from Peking University in 2014. My research lies at the intersection of causal machine learning, experimental design, and econometrics, with applications in healthcare, digital platforms, and finance. My work has appeared in Management Science, the Journal of Econometrics, ICML, NeurIPS, ICLR, KDD, AAAI, ACL, and EMNLP.
Recent Updates
September 2026: Posted an updated version of the working paper “Automated Experimental Design with Optimization from Historical Data Simulations”. Code is available at AutoED.
August 2026: Our paper “Two-Sided State-Space Models for Sequential Recommendation with Non-Random Multimodal Review Feedback”, with honors student Phoebe Pan and Zihan Liang, was accepted to Findings of EMNLP 2026. Code is available at TS-SSM.
April 2026: Our paper “Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness”, with honors students Zihan Liang and Phoebe Pan, was accepted to Findings of ACL 2026. Code is available at OPL-MT-MNAR.
February 2026: Posted a new working paper “AI-Generated Measurements for Identification and Inference with Missing Data: A Weak Shadow Variable Approach”, with Hongyu Chen and David Simchi-Levi.
February 2026: Our paper “Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference”, with Zhaonan Qu, Jizhou Liu and Guido Imbens, was accepted to the Journal of Business & Economic Statistics.
January 2026: Our paper “Factor Analysis for Large Non-Stationary Panels with Endogenous Missingness and Applications to Causal Inference”, with Junting Duan and Markus Pelger, was accepted to Management Science.