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
  
• Kernel machine methods
  
• Variable selection and regularization
  
• Pathway, network, and prior knowledge based analysis
  
• Statistical genomics/genetics

Application and Subject Areas of Interest

• Translational Science and Clinical Trials
  
• Genetics
  
• Epigenetics (Methylation)
  
• Metagenomics and Microbiome Analysis
  
• Genes x Environment interactions
  
• Metabolomics and Proteomics (MS based)
  
• Genetic Epidemiology
  
• Cancer
• Environmental health, Maternal and child health, Lung and Cardiovascular Conditions