Multi-omics (e.g. genomics, transcriptomics, epigenomics, proteomics, etc.) and data integration, Biostatistics and Bioinformatics, Data science, statistical learning and visualization
I hold a Ph.D. degree in Biostatistics from Tulane University. My research mainly focuses on developing and applying computational and statistical approaches to integrate and interpret large-scale biological “omics” data, with the goal of identifying disease mechanisms, biomarkers and treatment targets..