Wenbo Wu, M.A., is a Ph.D. candidate in Biostatistics and Scientific Computing in the Department of Biostatistics and the Michigan Institute for Computational Discovery & Engineering at the University of Michigan. His current research synthesizes state-of-the-art methods from statistics, computational science, optimization theory, machine learning, and natural language processing to address critical and far-reaching issues in health services research and clinical practice, using complex-structured large-scale data from administrative databases, disease registries, electronic health records, and randomized controlled trials. In addition to affiliations with the Kidney Epidemiology and Cost Center, Department of Family Medicine, and Precision Health Initiative at Michigan, Wenbo also works as a research assistant at Boston University Questrom School of Business, and at the Behavior Change for Good Initiative of the University of Pennsylvania. As a rising scholar, Wenbo is fully committed to leveraging his quantitative expertise to promote population health, improve clinical practice, and inform healthcare policy.
Mr. Wu is a recipient of a 2022 AcademyHealth Alice S. Hersh Student Scholarship for the Annual Research Meeting.