Third prize went to the RICO (RIsk of COvid) team, which adapted credit scorecard models used in the financial industry to create a functioning web app that advises users whether or not they should be tested for COVID-19 based on their symptoms. (Watch the RICO team’s presentation.) Team members were: Tarun Mamidi, doctoral trainee in Genetics, Genomics and Bioinformatics; Thi Tran-Nguyen, Ph.D., committee chair and data scientist for UAB’s U-BRITE/COVID-19 Knowledge Curation Taskforce and a graduate of the doctoral program in immunology; Ryan Melvin, Ph.D., assistant professor of anesthesiology and perioperative medicine; and mentor Elizabeth Worthey, Ph.D., associate professor of pediatric hematology and oncology.
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More about this news to be found in “The Reporter|UAB”