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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)