I am recruiting self-motivated Master's and Ph.D. students. If you are interested, please email me your CV and transcript(s).
Research Interests
My research focuses on the analysis of time-to-event data. Specifically, I am interested in developing novel statistical methods and theory in semiparametric modeling, data privacy, transfer learning and causal inference, with a particular emphasis on time-to-event outcomes. On the application side, I apply these methods to analyze data from clinical trials, epidemiological cohort studies, the UK Biobank, and electronic health records (EHR), aiming to generate meaningful scientific insights. As an example, my collaborators and I have previously published a series of papers evaluating the effectiveness of COVID-19 vaccines. Several keywords of my research:
Time-to-event Data
Survival Analysis
Semiparametric Models
Data privacy
Causal Inference
EHR Data Analysis
Education
Ph.D. in Biostatistics, University of North Carolina at Chapel Hill, 2019 - 2024
B.S. in Statistics, Peking University, 2015 - 2019
