Her primary research interest is the development and application of methods to understand the genetic, proteomic, and metabolomic predictors of phenotypes such as drug response and common, complex disease. She works on a variety of applications in pharmacogenomics, including performing association mapping in clinical trials and a cytotoxicity cell line model. The methods development is focused on detecting complex models, including gene-gene and gene-environment interactions using combinatoric approaches and evolutionary computation algorithms.