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

Publications

Wei Jin, Yang Ni, Leah H. Rubin, Amanda B. Spence, Yanxun Xu (2021). A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV. Biometrics, in press. Winner of the Joint Statistical Meetings (JSM) Student Paper Award, Mental Health Statistics Section.

PDF arXiv Code Shiny

Camilo Gouet, Wei Jin, Daniel Q. Naiman, Marcela Pena, Justin Halberda (2021). Bias and Noise in Proportion Estimation: A Mixture Psychophysical Model. Cognition, 213, 104805.

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Kathryn C. Fitzgerald, Pauline M. Maki, Yanxun Xu, Wei Jin, Raha Dastgheyb, Dionna W. Williams, Gayle Springer, Kathryn Anastos, Deborah Gustafson, Amanda B. Spence, Adaora A. Adimora, Drenna Waldrop, David E. Vance, Hector Bolivar, Victor G. Valcour, Leah H. Rubin (2020). Factors Predicting Detrimental Change in Declarative Memory Among Women with HIV: A Study of Heterogeneity in Cognition. Frontiers in Psychology, 11, 2606.

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Fangzheng Xie, Wei Jin, Yanxun Xu (2019). Rates of Contraction with Respect to L2-Distance for Bayesian Nonparametric Regression. Electronic Journal of Statistics, 13(2), 3485-3512.

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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.

Contact

wjin[AT]jhu[DOT]edu
3400 North Charles Street, Baltimore, MD 21218