Hi, nice to meet you!
My research primarily focuses on causal inference, clinical trials, and statistical methods for time-to-event data. I'm also enthusiastic about data science and data visualization in R. You can find my contributions to TidyTuesday in my github.
I received my Ph.D. from the department of Biostatistics & Medical Informatics at UW-Madison advised by Prof. Lu Mao.
Ph.D. in Biomedical Data Science ∙ University of Wisconsin-Madison ∙ 2018 - 2023
M.S. in Statistics ∙ University of Michigan-Ann Arbor ∙ 2016 - 2018
B.S. in Mathematics ∙ Sun Yat-sen University ∙ 2012 - 2016
My research interest
My research mainly focuses on two aspects.
● semiparametric and nonparametric methods for multivariate hierarchical outcomes, or composite endpoints.
● application of causal inference in clinical trials. For example, developing causal inference methods to correct the selection bias arising from different designs of clinical trials.
Blog
Does negative wealth shock cause an increase in all-cause mortality?
Use matching methods to analyze the causal relationship between the negative wealth shock and all-cause mortality Read more
R Packages
WR package
Implements various win ratio methodologies for composite endpoints of death and nonfatal events. Read more
Featured categories
Data Visualization (5) Data Science (3) ggplot2 (3)