Wei Jin

Wei Jin

Postdoctoral Fellow

Johns Hopkins University

Biography

Welcome to my homepage! I am a Postdoctoral Fellow in the Department of Applied Mathematics and Statistics at Johns Hopkins University, working with Professor Yanxun Xu. My PhD dissertation won the Leonard J. Savage Dissertation Award.

My research interests lie in developing Bayesian statistical theory and methods for a broad range of problems, including Bayesian nonparametrics, dynamic treatment regimes, and causal discovery. I also conduct interdisciplinary research by developing novel Bayesian methods for various applications, including electronic health/medical record data, precision medicine in HIV, and early detection of Alzheimer’s disease.

Interests
  • Bayesian Nonparametrics
  • Dynamic Treatment Regimes
  • Causal Discovery
  • Electronic Health Records
  • Precision Medicine in HIV
Education
  • Ph.D. in Applied Math and Stats, 2018 - 2022

    Johns Hopkins University

  • M.S.E in Computer Science, 2019 - 2021

    Johns Hopkins University

  • M.S.E in Applied Math and Stats, 2016 - 2018

    Johns Hopkins University

  • B.S. in Math and Applied Math, 2012 - 2016

    Sichuan University

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