Angela Zhou is interested in developing prescriptive analytics with theoretical guarantees for data-driven decision-making. Currently, she is working on leveraging causal inference and machine learning as a language for prescriptive analytics, making robust recommendations for action in view of fundamental practical challenges in observational/operational data. Her work emphasizes credibility as a form of reliability, developing robust inferential procedures subject to analyst-tunable violations of assumptions. More broadly, Angela is interested in the interplay of statistics and optimization for decision-making, with applications to e-commerce, healthcare and policy.