Sandra Safo
Assistant Professor, Division of Biostatistics
Contact Info
Assistant Professor, Division of Biostatistics
PhD, Statistics, University of Georgia, 2014
MSc, Applied Mathematics, The University of Akron, 2009
BA, Mathematics and Economics, University of Ghana, 2006
Summary
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.
Expertise
Multivariate Statistical Analysis, High-dimensional data, Data integration, Statistical Learning (Discriminant Analysis, Classification), Sample Size Estimation, Statistical genomics, Metabolomics
Awards & Recognition
Research
Publications
See a full list of publications on my website
Selected Publications
Safo S E, Li S, Long Q. “Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information” Biometrics, 2017
Jackson S L, Safo S, Staimez L R, Long Q, Rhee M K, Cunningham SA, Olson D E, Tomolo A M, Ramakrishnan U, Narayan K M, Phillips L S. “Reduced Cardiovascular Disease Incidence With a National Lifestyle Change Program” American Journal of Preventive Medicine, 2017
Sandra E. Safo, Jeongyoun Ahn “General sparse multi-class linear discriminant analysis”, Computational Statistics & Data Analysis, 2016