MinJae Lee, PhD

Biography

Dr. MinJae Lee is a tenured professor of biostatistics at McGovern Medical School at UTHealth Houston. Dr. Lee also serves as the Division of Clinical & Translational Sciences Co-Director, Department of Internal Medicine, McGovern Medical School. Dr. Lee’s research focuses on developing and applying innovative statistical methods to address challenges and issues encountered in everyday research settings. She has gained extensive experience working in multidisciplinary research units at academic medical centers, developing successful collaborations with research investigators from various specialties. Dr. Lee has actively participated in publications and grant submissions for various studies that require advanced statistical methodology, such as cancer prevention/treatment, preventive lifestyle behavioral intervention trial design/evaluation, acute/chronic disease biomarker analysis, highly correlated exposure data analysis, and multi-site/multi-level/longitudinal data modeling. As a result of her extensive collaborative scientific research activities, Dr. Lee became familiar with various statistical challenges in analyzing complex data; she identified areas requiring methodological development and provided solutions to address clinically relevant questions by developing innovative statistical methods and illustrating their proper applications to real-world data. Dr. Lee developed multiple statistical approaches based on quantile regression, non-/semi-parametric statistical methods to deal with various types of measurement issues in self-reported data, truncated/censored values due to the limit of detections in biomarkers or environmental measurements, and missing values in longitudinal/multi-level data under various mechanisms. She has also contributed to the university through teaching/mentoring and serving on campus committees, including the UTHealth Houston School of Public Health. She is a member of the American Statistical Association and an active reviewer/associate editor of several statistical and clinical journals, including serving on the Nature Medicine Statistical Advisory Panel.