I am an Assistant Professor in the Department of Statistics & Actuarial Science at the University of Hong Kong. I received my PhD in Biostatistics from the University of North Carolina at Chapel Hill in 2023, co-advised by Drs. Danyu Lin and Donglin Zeng. Before that, I graduated with a BS in Statistics from the University of Science & Technology of China in 2018.

My CV here

Research Interests

• Survival analysis: I study semiparametric regression models for complex censored outcomes, with a focus on interval-censored failure times and multi-state processes. I also develop methods for integrative analysis of survival, longitudinal, and imaging data to enhance risk prediction in chronic diseases. Moreover, I am broadly interested in statistical applications of survival analysis in medicine and public health.
• Statistical machine learning: I develop novel machine learning methods tailored to survival outcomes, with a special interest in transfer learning for survival analysis. I also investigate deep learning methods for flexible nonparametric and semiparametric inference with censored data.
• Functional data analysis: Together with my colleagues, I develop novel methods for analyzing complex functional and longitudinal data, particularly those with informative observation times and latent structures.

Openings

No current openings.

News

• [12/2024] Our paper on semiparametric analysis of multi-state data under mixed censoring schemes has been accepted by JASA.
• [06/2024] I am grateful to have received the RGC-ECS grant.
• [04/2024] I am honored to have received the Barry H. Margolin dissertation award.
• [10/2023] Our paper on semiparametric inference with interval-censored multi-state data has been accepted by Biometrika.