The methodological researches I conduct focus on three distinct but interrelated topics: High-dimensional data, clustered data analysis and inference under misclassification errors.  The underlying common theme of these topics is the development of robust and nonparametric inferential procedures  for multivariate data.   I am also interested in collaborative research in public health, including but not limited to smoking cessation, childhood asthma, Multi-omics risk score and SARS-COV2 genome sequence data.

 

(accessed on 02/04/2022)