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Hajira Fuad Named Regeneron Science Talent 2017 Scholar - USM Today
In January, Hajira Fuad ’17 was named a Regeneron Science Talent Search 2017 Scholar for her project titled “Computational Discovery of Pharmacological Chaperones to Rectify Protein Misfolding Using a Novel Support Vector Machine Classifier.” Only 300 entrants were selected from more than 1,700 nationwide, with Fuad being the only one from Wisconsin. For her project, Fuad programmed an algorithm to search a database of FDA-approved …