Wenbo Wu, Ph.D., is a tenure-track Assistant Professor in the Department of Health Policy and Management, the Department of Biostatistics, and the Center for Population Health Information Technology at the Johns Hopkins Bloomberg School of Public Health, an Assistant Professor in the Section of Biomedical Informatics and Data Science at the Johns Hopkins University School of Medicine, and a core faculty member in the Hopkins Business of Health Initiative of the Johns Hopkins University. His research synthesizes state-of-the-art methods from statistics, causal inference, machine learning, optimization, and computational science to address critical and far-reaching issues in health equity, outcomes and services, and clinical practice, leveraging disease registries, administrative claims, electronic health records, and randomized controlled trials. With over 30 publications in leading statistical, clinical, and health, and informatic journals, Dr. Wu has been recognized by the National Institute on Aging (Butler–Williams Scholar), the journal Health Services Research, the American Statistical Association, and the American Public Health Association.