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 Data Engineer at TikTok, she leads the Analytics team that serves analytic insights to billions of creators.

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 Principal Data Analyst at Capital One, 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 & Public Policy.