Jungwun Lee
Assistant Professor
Boston University School of Public Health
Biostatistics

PhD, University of Connecticut
MS, Korea University
BS, Korea University



My research areas include latent variable modeling, incomplete data analysis, causal inference, and outlier detection methods. My primary interest focuses on developing advanced methodologies that may conceive complicated data structures, such as multivariate longitudinal data, longitudinal data with mixed (categorical and continuous) variables. The secondary interest is how to avoid unnecessary assumptions on methodologies so that they can be applied to a wide range of real data problems related to public health, social studies, behavioral research, and educational measurements. The third aim of my research interests is to investigate how to overcome ubiquitous challenges in data practice, including missing value problems and high dimensionality.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.


This graph shows the total number of publications by year, by first, middle/unknown, or last author.




2022 American Honors Public Health Association: APHS/Stata Scholar Finalist (In recognition within the Applied Public Health Statistics)
2020 University of Connecticut: Certificate of Excellence in Teaching
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Latent variable modeling
Longitudinal Studies
Missing data
Categorical data
Contact for Mentoring:

617.358.2222
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