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