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My name is Wei Jin (金未). I am an Assistant Professor in the Department of Biostatistics at Boston University School of Public Health (BUSPH). I am also affiliated with the BUSPH Center for Health Data Science (CHDS), the BUSPH Center for Trauma and Mental Health (CTMH), and the Providence/Boston Center for AIDS Research (CFAR). I received my PhD in Statistics from the Department of Applied Mathematics and Statistics at Johns Hopkins University, under the supervision of Professor Yanxun Xu. I am a recipient of the Leonard J. Savage Award from the International Society for Bayesian Analysis (ISBA).

My research focuses on developing novel Bayesian statistical and machine learning methods for a broad range of problems, including Bayesian nonparametrics, causal machine learning, causal discovery, dynamic treatment regimes, and reinforcement learning. I also conduct interdisciplinary research by collaborating with domain experts to address real-world challenges across various biomedical and public health applications, such as electronic health/medical record data, precision medicine in HIV, mental health and cognition, substance use and addiction, and early detection of Alzheimer's disease.