Main Research Areas

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Our research interests are broad and we are always looking to tackle exciting new problems, but our current work includes work in a number of areas.

Statistical Areas of Interest

• Statistical methods for translational research
• High dimensional data
• Variable selection and regularization
• Kernel machine methods
• Pathway, network, and prior knowledge based analysis
• Statistical genomics/genetics

Application and Subject Areas of Interest

• Genetics
• Epigenetics (Methylation)
• Metagenomics and Microbiome Analysis
• Genes x Environment interactions
• Metabolomics and Proteomics (MS based)
• Genetic Epidemiology
• Cancer, Environmental health, Reproductive health, Lung/Cardiovascular Conditions