Instructors

His research focuses on statistics and bioinformatics for metabolomics, microarray and next generation sequencing (RNA-seq) data analysis and integration. Some of the tools he developed in the past include MetaboAnalyst for statistical analysis of metabolomics data, MSEA for metabolite set enrichment analysis, MetPA for metabolic pathway analysis, ROCCET for ROC curve based biomarker analysis, and NetworkAnalyst for data integration and network analysis. His general interest is high-throughput omics data analysis using a variety of statistics, machine learning and data visualization technologies.