Myeonggyun Lee, PhD

My research centers on advancing statistical methodologies to tackle critical challenges in health services, outcomes, and policy, with a particular focus on clinical trials, cancer epidemiology, and environmental health sciences. My work encompasses a range of topics, including semiparametric modeling for high-dimensional and highly correlated data, sub-cohort sampling designs, risk prediction modeling, longitudinal and survival data analysis, clinical trials, machine learning, and causal inference. Through scientific collaborations, I engage in diverse research areas such as kidney disease, cancer survival, metabolic risk profiling, lung disease, obesity, pediatric health, and chemical and non-chemical mixture exposures.