Dr. Lee received her Ph.D. degree in Biostatistics from University of Pittsburgh in 2010. She has considerable experience working at academic medical centers, collaborating with clinicians of various specialties. She was involved in diverse projects on critical care medicine through her doctoral research work and continued to build collaborative relationships with the large team of clinicians and epidemiologists in University of Pittsburgh School of Medicine after she was recruited as a biostatistics research faculty in November 2010. Since August 2012, Dr. Lee has served as an Assistant Professor of Biostatistics, Epidemiology and Research Design (BERD), a component of the Center for Clinical and Translational Sciences (CCTS) at UTHealth, and she joined the faculty at McGovern Medical School as an Assistant Professor in 2013. She has developed successful collaborations with faculty in various departments at UTHealth as well as UTHealth School of Public Health Brownsville Regional Campus to provide her expertise in study design, data management and statistical analysis. Dr. Lee has actively participated in publications and grant writing for the various studies that involve the application of advanced statistical analysis methods. She has also contributed to the university through teaching and serving on committees across campuses. Dr. Lee is familiar with the different types of methodological issues and challenges related to missing or censored data, especially in longitudinal data analysis; she has been focusing on the development of statistical approaches based on quantile regression where either the outcome or covariate in a given model is subject to censoring due to detection limits. Her areas of expertise include modeling for informative missing/drop-out data in longitudinal studies, quantile regression, multiple imputation, semi-parametric modeling for survival data and regression diagnostics. She is a member of American Statistical Associations and an active reviewer of several clinical and statistical journals.


Doctoral Degree
Biostatistics, University of Pittsburgh, PA
Master Degree
Statistics, Sookmyung Women's University, Seoul, Korea

Areas of Interests

Research Interests

• Statistical methods for biomarkers subject to detection limits • Quantile Regression • Informative missing/drop-out data for longitudinal studies • Multiple Imputation for missing data • Semi-parametric modeling for Survival data • Critical Care Research • Epidemiological studies in women’s and reproductive health • Regression diagnostics