Wei Jin, PhD
Assistant Professor
Boston University School of Public Health
Biostatistics

PhD, Johns Hopkins University
MSE, Johns Hopkins University
BS, Sichuan University

Pronouns: he/him/his



Dr. Jin is an Assistant Professor of Biostatistics at the Boston University School of Public Health. He received his Ph.D. in Statistics from the Department of Applied Mathematics and Statistics at Johns Hopkins University. His research focuses on developing novel Bayesian statistical and machine learning methods for a broad range of problems, including Bayesian nonparametrics, dynamic treatment regimes, and causal discovery. Dr. Jin also conducts interdisciplinary research by collaborating with domain experts to address real-world challenges across various biomedical applications, such as electronic health/medical record data, precision medicine, mental health and cognition among people living with HIV, and early detection of Alzheimer’s disease. He is the recipient of the Leonard J. Savage Award from the International Society for Bayesian Analysis.

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.

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  1. Jin W, Gao Q, Xu Y. BayTetra: A Bayesian Semiparametric Approach for Testing Trajectory Differences. Stat Med. 2025 Mar 30; 44(7):e70071. PMID: 40200413; DOI: 10.1002/sim.70071;
     
  2. Jin W, Ni Y, Spence AB, Rubin LH, Xu Y. Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables. Journal of Machine Learning Research. 2025; 26(22):1-62. View Publication
  3. Jin W, Ni Y, Spence AB, Rubin LH, Xu Y. A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV. Biostatistics. 2024 Oct 01; 25(4):1034-1048. PMID: 38365980; PMCID: PMC12097900; DOI: 10.1093/biostatistics/kxae001;
     
  4. Jin W, Ni Y, O'Halloran J, Spence AB, Rubin LH, Xu Y. A BAYESIAN DECISION FRAMEWORK FOR OPTIMIZING SEQUENTIAL COMBINATION ANTIRETROVIRAL THERAPY IN PEOPLE WITH HIV. Ann Appl Stat. 2023 Dec; 17(4):3035-3055. PMID: 39238826; PMCID: PMC11377020; DOI: 10.1214/23-aoas1750;
     
  5. Parra-Rodriguez L, O'Halloran J, Wang Y, Jin W, Dastgheyb RM, Spence AB, Sharma A, Gustafson DR, Milam J, Weber KM, Adimora AA, Ofotokun I, Fischl MA, Konkle-Parker D, Maki PM, Xu Y, Rubin LH. Common antiretroviral combinations are associated with somatic depressive symptoms in women with HIV. AIDS. 2024 Feb 01; 38(2):167-176. PMID: 37773048; PMCID: PMC11833910; DOI: 10.1097/QAD.0000000000003730;
     
  6. Rubin LH, Maki PM, Dastgheyb RM, Steigman PJ, Burke-Miller J, Xu Y, Jin W, Sosanya O, Gustafson D, Merenstein D, Milam J, Weber KM, Springer G, Cook JA. Trauma Across the Life Span and Multisystem Morbidity in Women With HIV. Psychosom Med. 2023 May 01; 85(4):341-350. PMID: 36961349; PMCID: PMC10450638; DOI: 10.1097/PSY.0000000000001192;
     
  7. Jin W, Ni Y, Rubin LH, Spence AB, Xu Y. A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV. Biometrics. 2022 Sep; 78(3):988-1000. PMID: 34145900; PMCID: PMC10515268; DOI: 10.1111/biom.13508;
     
  8. Gouet C, Jin W, Naiman DQ, Peña M, Halberda J. Bias and noise in proportion estimation: A mixture psychophysical model. Cognition. 2021 Aug; 213:104805. PMID: 34172265; DOI: 10.1016/j.cognition.2021.104805;
     
  9. Fitzgerald KC, Maki PM, Xu Y, Jin W, Dastgheyb R, Williams DW, Springer G, Anastos K, Gustafson D, Spence AB, Adimora AA, Waldrop D, Vance DE, Bolivar H, Valcour VG, Rubin LH. Factors Predicting Detrimental Change in Declarative Memory Among Women With HIV: A Study of Heterogeneity in Cognition. Front Psychol. 2020; 11:548521. PMID: 33178064; PMCID: PMC7594511; DOI: 10.3389/fpsyg.2020.548521;
     
  10. Xie F, Jin W, Xu Y. Rates of Contraction with Respect to L2-Distance for Bayesian Nonparametric Regression. Electronic Journal of Statistics. 2019; 13(2):3485-3512. View Publication

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

Bar chart showing 10 publications over 6 distinct years, with a maximum of 3 publications in 2023

YearPublications
20191
20201
20212
20233
20241
20252


2025 International Chinese Statistical Association: Applied Statistics Symposium Poster Award
2024 International Society for Bayesian Analysis: Leonard J. Savage Award, Applied Methodology Section
2022 Johns Hopkins University: Rufus P. Isaacs Graduate Fellowship
2021 American Statistical Association: Joint Statistical Meetings Student Paper Award, Mental Health Statistics Section
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Bayesian Method
Biostatistics
Causality
Machine Learning
Longitudinal Study
Precision Medicine
HIV Infection
Mental Health
Cognition
Alzheimer Disease
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801 Massachusetts Avenue, Room 330
Boston MA 02118
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617.358.2222
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