401S Bridge Hall
I am an Assistant Professor at USC Marshall Data Sciences and Operations, in the Operations group.
Previously I was a research fellow at the Simons program on causality, a FODSI postdoc at UC Berkeley, hosted by Bin Yu, and Michael I. Jordan. I obtained my PhD from Cornell University in Operations Research and Information Engineering working with Nathan Kallus at Cornell Tech. My work was previously supported on a NDSEG fellowship.
My research interests are broadly in data-driven decision making under uncertainty, including operations, statistical machine learning, and causal inference, and the interplay of statistics and optimization.
I’m happy to chat about possible collaborations. If you are a student at USC, please feel free to email me (and check with your advisor). If you are interested in becoming a PhD student at USC, please apply to the Data Sciences and Operations PhD program if you’d like to work with me.
Email: zhoua at usc.edu.
- Computerized influence functions for optimization-based estimators in causal inference
- Credible causal inference for optimal decisions and bounds; and for infinite-horizon offline reinforcement learning under violations of assumptions
- Algorithmic fairness: biased data, partial identification bounds on causal disparities. Substantive: don’t use CJ data for ML benchmarks, evaluating short term impacts of bail reform on aggregate crime.
- Empirical Gateaux Derivatives for Causal Inferenceconference version at Neurips; journal version in preparation 2022
- Minimax-Optimal Policy Learning under Unobserved ConfoundingManagement Science (Forthcoming), supersedes Neurips 2018 version 2020
- Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement LearningNeurips 2020
- Assessing algorithmic fairness with unobserved protected class using data combinationManagement Science (Forthcoming). A preliminary version appeared at FaCCT 2020 2019
|Oct 7, 2022||Co-chaired ACM EAAMO; catch up with the program here|
|Sep 14, 2022||Two papers accepted at Neurips 2022: Off-Policy Evaluation with Policy-Dependent Response and Empirical Gateaux Derivatives for Causal Inference (Oral-designated, Top 3% of All Submissions).|
|Jun 16, 2022||Started at USC Marshall.|