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Wenbo Wu

Graduate Student Research Assistant
Public Health

MS, University of Wisconsin-Madison
MA, Central University of Finance and Economics
BA, Tianjin University

Wenbo Wu is a doctoral candidate in Biostatistics and Scientific Computing at the University of Michigan. His research interests center around the synthesis of statistics, machine learning, and computational science to address critical and far-reaching issues in health policy and services research, utilizing national disease registries, administrative databases, electronic health records (EHRs), and large-scale observational studies. Before Michigan, he received his BA from Tianjin University, MA from the Central University of Finance and Economics, and MS from the University of Wisconsin-Madison.


Personalizing Treatments For Habit Formation: Learning Optimal Treatment Rules From a Multi-Arm Experiment - Ongoing Work

University Affiliation(s)


Community and Professional Affiliation(s)


Research Area(s)

Behavioral medicine | Biostatistics | Computational Data Science | Data science / Analytics / AI | Health services research | Natural language processing | machine learning | patient outcomes