Ana Vasquez

Ana Vasquez is a faculty member in Epidemiology and Biostatistics. Her research focuses on the development, use and implementation of genetic information (pedigree, DNA sequence, gene expression and other omics) for analysis and prediction of complex traits and diseases. Originally from Uruguay, her undergraduate degree is from Universidad de la República, Montevideo, Uruguay, and her graduate degrees in dairy science are from the University of Wisconsin, Madison. Her research includes generalized linear mixed models (GLMM) which account for pedigrees, from which she has co-authored two R-packages (pedigreemm and pedigreeR). Her particular focus is on the genetics of obesity and its co-morbidities, as well as in the response to exercise intervention. Finally, she also conducts research on integration of omic information for prediction of cancer progression.