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Areas of Expertise
Advanced Quantitative Methods
Causal Inference
Children and Adolescents
China
Disability
Employment
Health
Health disparities
Large-scale Administrative Datasets
Machine Learning
Research and evaluation methodology
Jiebiao Wang is a Ph.D. student at Crown School, specializing in health policy, intellectual and developmental disabilities (IDD), and child welfare. Jiebiao’s research employs advanced quantitative methods, including machine learning and causal inference, to explore social and health disparities. He is an IvyPlus Exchange Scholar with experience at Stanford University and has contributed to research on rural revitalization in China, family financial well-being, and autism care. He is also a fellow of the Center of Health Administration Studies.