Wei Jin

Wei Jin

Ph.D. Candidate of Applied Mathematics and Statistics

Johns Hopkins University

Biography

I am a Ph.D. candidate in the Department of Applied Mathematics and Statistics at Johns Hopkins University, advised by Professor Yanxun Xu. Before I joined Johns Hopkins, I received my bachelor’s degree in Mathematics and Applied Mathematics from Sichuan University. I am broadly interested in developing Bayesian methods for various statistical problems and applications, including electronic health records, dynamic treatment regimens, and precision medicine in HIV.

Interests
  • Bayesian Nonparametrics
  • Electronic Health Records
  • Precision Medicine in HIV
Education
  • Ph.D. in Applied Math and Stats, 2018 - Present

    Johns Hopkins University

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

    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

Experience

 
 
 
 
 
Research Assistant
Johns Hopkins University
Jan 2019 – Present Baltimore, MD
  • Research assistant to Professor Yanxun Xu in the Department of Applied Mathematics and Statistics.
  • Bayesian methods development for electronic health records data and application to precision medicine in HIV.
 
 
 
 
 
Teaching Assistant
Johns Hopkins University
Jan 2018 – May 2020 Baltimore, MD
  • EN.553.602 Research and Design in Applied Mathematics 2020 Spring
  • EN.553.636 Introduction to Data Science 2020 Spring, 2019 Spring, 2018 Fall
  • EN.553.720 Probability Theory I 2019 Fall
  • EN.553.731 Statistical Theory II 2019 Spring, 2018 Spring
  • EN.553.782 Statistical Uncertainty Quantification 2018 Fall
 
 
 
 
 
Data Analyst Intern
Tencent
Jul 2015 – Aug 2015 Beijing, China
  • Refined and classified online payers and game users of WeChat according to their behaviors by applying statistical and machine learning methods.

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