Angela Zhou


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.

Email: zhoua at

[Scholar], [CV],


selected publications

  1. Data-Driven Influence Functions for Causal Inference and Optimization-Based Estimators
    Michael Jordan, Yixin Wang, and Angela Zhou
    Supersedes Empirical Gateaux Derivatives for Causal Inference (oral at Neurips 2022) 2022
  2. Minimax-Optimal Policy Learning under Unobserved Confounding
    Nathan Kallus, and Angela Zhou
    Management Science (Forthcoming), supersedes Neurips 2018 version 2020
  3. Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
    Nathan Kallus, and Angela Zhou
    Neurips 2020
  4. Assessing algorithmic fairness with unobserved protected class using data combination
    Nathan Kallus, Xiaojie Mao, and Angela Zhou
    Management Science (Forthcoming). A preliminary version appeared at FaCCT 2020 2019


Jun 1, 2023 Major (working) update on Data-Driven Influence Functions for Causal Inference and Optimization-Based Estimators, with new results on sensitivity analysis!
Apr 13, 2023 Upcoming talks at USC ShowCAIS (April), USC Econometrics Reading group (April), Simons (Causality reunion) (May), Socal OR/OM Day (May), Stanford OIT (June)
Feb 1, 2023 New paper on Robust Fitted-Q-Iteration under Unobserved Confounders!
Jan 15, 2023 Serving as a Tutorials Chair and an Area-Chair for FAccT 2023, Scientific Integrity Chair for UAI 2023.
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.