Sandra Safo

Assistant Professor, Division of Biostatistics

Sandra Safo

Contact Info

ssafo@umn.edu

Office Phone 612-625-9142

Office Address:
Mayo A466

Mailing Address:
MMC 303 Mayo
420 Delaware St SE
Minneapolis, MN 55455

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

  • Emory University BIRCWH Scholar, 2016-2017
  • PRIDE Cardiovascular Genetics Epidemiology Scholar, Washington University, St Louis, 2016-2018

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