Dr. Hannah Xiaoyun Wu specializes in policing research, evidence-based program evaluation, and the innovative application of quantitative methods and data analysis to challenging criminological problems. Her most recent work focuses on understanding the efficacy of everyday proactive police work in mitigating crime and accidents. She has been involved in several randomized and quasi-experimental program designs and evaluations and is proficient with causal inferencing. In her current role as Principal Data Analyst at Capital One, she builds data pipelines and models to help automate the forecasting of financial liquidity.

Dr. Wu received her M.A. and Ph.D. in Criminology, Law and Society from George Mason University. Before her current position, she was a Research Data Scientist at the National Policing Institute, a post-doctoral research fellow at the Center for Evidence-Based Crime Policy at George Mason University, and Managing Editor of Criminology and Public Policy.