Wei Jin, PhD
Assistant Professor, Biostatistics - Boston University School of Public Health
Biography
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.
Education
- Johns Hopkins University, PhD Field of Study: Applied Mathematics
- Johns Hopkins University, MSE Field of Study: Computer Science/Applied Mathematics
- Sichuan University, BS Field of Study: Mathematics/Applied Mathematics
Publications
- Published on 3/30/2025
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.
Read At: PubMed
- Published on 2/1/2025
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.
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- Published on 10/1/2024
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.
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- Published on 10/30/2023
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.
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- Published on 9/28/2023
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.
Read At: PubMed
- Published on 3/15/2023
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.
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- Published on 7/9/2021
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.
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- Published on 6/23/2021
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.
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- Published on 10/15/2020
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.
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- Published on 10/1/2019
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.
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