Jungwun Lee, PhD
Assistant Professor, Biostatistics - Boston University School of Public Health
Biography
I am an Assistant Professor in the Department of Biostatistics at Boston University (BU) School of Public Health. I was a postdoctoral research fellow in the Departments of Biostatistics at the Harvard University T. H. Chan School of Public Health. I obtained my PhD in Statistics from University of Connecticut in May 2023.
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.
Education
- University of Connecticut, PhD Field of Study: Statistics
- Korea University, MS Field of Study: Statistics
- Korea University, BS Field of Study: Mathematics
Publications
- Published on 5/25/2025
Jung Wun Lee, D. Betsy McCoach, Ofer Harel, Hwan Chung. Bayesian Multilevel Latent Class Profile Analysis: Inference and Estimation for Exploring the Diverse Pathways to Academic Proficiency. Multivariate Behavioral Research. 2025; 60(5):954–972.
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- Published on 5/1/2025
Jungwun Lee, Margaret Lloyd Sieger, Jon D. Phillips . A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data. Computational Statistics. 2025; 40:4367–4397.
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- Published on 1/1/2025
Jung Wun Lee, Ofer Harel. A Two-Stage Classification for Dealing with Unseen Clusters in the Testing Data. Journal of Data Science. 2025; 23(1):188-207.
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- Published on 12/16/2024
Jung Wun Lee, Hayley Dunnack Yackel. Journal of Applied Statistics. Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer. 2024; 1-21.
- Published on 11/12/2024
Guenette JP, Lee J, Haneuse S, Chen JT, Kapoor N, Lacson R, Khorasani R. Patient Photograph Association With Radiologist Recommendations for Additional Imaging. J Am Coll Radiol. 2025 Apr; 22(4):478-485. PMID: 39542196.
Read At: PubMed
- Published on 10/17/2024
Dunnack Yackel H, Xu W, Wun Lee J, Cong X, Salner AL, Duffy VB, Judge MP. HPV Status and Oral Health Symptom Patterning During Treatment and Survivorship in Patients With Head and Neck Cancer: A Longitudinal Analysis. Oncol Nurs Forum. 2024 Oct 17; 51(6):565-575. PMID: 39431692.
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- Published on 7/19/2024
Jung Wun Lee, Ofer Harel. Statistics and Its Interface. A latent class selection model for categorical response variables with nonignorably missing data. 2024; 17(4):635-648.
- Published on 7/2/2024
Jung Wun Lee, Ofer Harel. Journal of Data Science. A Two-Stage Classification for Dealing with Unseen Clusters in the Testing Data. 2024; 1-20.
- Published on 1/30/2024
Bellizzi KM, Park CL, Lee JW, Harel O, Sanft T, Fritzson E, Salafia C, Ligus K, Gnall K, Magin ZE. Physical health and function trajectories in adults with cancer: psychosocial predictors of class membership. J Cancer Surviv. 2025 Aug; 19(4):1173-1183. PMID: 38289507.
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- Published on 5/7/2023
Dunnack Yackel H, Xu W, Lee JW, Cong X, Salner A, Duffy VB, Judge MP. Symptom Patterning Across the Cancer Care Trajectory for Patients Receiving Chemoradiation for Head and Neck Cancer: A Retrospective Longitudinal Study Using Latent Transition Analysis. Cancer Nurs. 2024 Jul-Aug 01; 47(4):261-270. PMID: 36881642.
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