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Steven Schrodi is an Assistant Professor in Medical Genetics at the University of Wisconsin-Madison. His research focuses on synthesizing disease gene mapping approaches with new statistical and computational methods to identify genetic variants that underlie immune system and metabolic pathologies. His ultimate goals are to develop widely applicable genetic biomarkers and statistical methods that contribute to a deeper understanding of the molecular pathogenesis of complex diseases, ultimately providing useful results for predicting disease susceptibility. His diabetes research area encompasses the discovery of novel genetic mechanisms that drive susceptibility to type 1 and type 2 diabetes by utilizing genome-wide scans and analyzing the loss-of-function effects of shared inherited chromosomal segments in individuals with diabetes. Additionally, he is dedicated to early prediction of metabolic dysfunction by employing machine learning approaches that combine genetic data, metabolite signatures, and metabolic inflammatory proteins.
Department: Department of Computer Sciences