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