UTA engineering researcher to develop tools to better analyze complex patient data
Big dataA UTA researcher is developing computing tools that will employ multiple methods of accessing and analyzing very large, complex patient data. This research could ultimately allow scientists and doctors to make better clinical predictions and work toward cures for diseases. The National Science Foundation has awarded a five-year, $535,763 Faculty Early Career Development, or CAREER, grant to Junzhou Huang, an assistant professor in the Computer Science and Engineering Department