Sandra Safo, PhD

I am interested in developing statistical methods and computational tools to help identify risk factors for complex diseases. Specifically, I have been developing multivariate statistical methods, statistical learning (including classification, discriminant analysis, association studies), data integration, and feature selection methods for high-dimensional data. Currently, I develop methods for integrative analysis of “omics” (including genomics, transcriptomics, and metabolomics) and clinical data to help elucidate the complex interactions of these multifaceted data types. My current application is CVD in HIV-infected women. I am also interested in epidemiologic research in CVD, diabetes, and diabetes complications. View the Integrative Modeling Dashboard (opens in a new window).