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.
Google Scholar: citations=1172, h-index=19, i10-index=29
(accessed on 02/04/2022)
