Dr. Lee is an epidemiologist whose research focuses on pediatric epidemiology, mental health epidemiology, cancer epidemiology, chronic disease epidemiology, and epigenetic epidemiology. His studies investigate the role of social determinants of health and environmental risk factors, as well as their interaction with genetics. Methodologically, he uses machine learning, Autoregressive Integrated Moving Average (ARIMA) time-series modeling, trajectory analysis, and causal inference methods, including Mendelian randomization and instrumental variable analysis, to improve causal inference and identify long-term health patterns in populations.
Besides his research, Dr. Lee actively engaged in teaching, offering courses including MPH 501, 511, 512, 513, 514, and PAD 656, where he provides training in epidemiologic methods, quantitative research, and applied research for evidence-based public health practice.