Yangjianchen Xu

Assistant Professor

Department of Statistics and Actuarial Science University of Waterloo 200 University Avenue West, Waterloo, ON N2L 3G1, Canada

Openings

I am recruiting self-motivated Master's and Ph.D. students. If you are interested, please email me your CV and transcript(s).

Research

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 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 published a series of papers evaluating the effectiveness of COVID-19 vaccines.

Time-to-event data
Semiparametric models
Survival analysis
Functional data analysis
Causal inference
EHR data analysis
Data privacy

Education

2019 – 2024 Ph.D. in Biostatistics University of North Carolina at Chapel Hill
2015 – 2019 B.S. in Statistics Peking University