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Carlo Fiorina is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University, specializing in the fields of numerical methods development and scientific computing. His research focuses on thermal-hydraulics, neutronics, and nuclear fuel behavior, integrating multiphysics and multi-scale coupling techniques. His work includes the analysis of advanced reactors and fusion energy systems, emphasizing performance and safety analysis. Fiorina has a strong background in uncertainty quantification and Bayesian data assimilation, along with expertise in data science and machine learning applications, which support his contributions to the field. A prominent figure in open-source software development practices, Carlo is committed to enhancing software solutions for nuclear engineering applications. He has received the Early Career Reactor Physicist Award from the American Nuclear Society in 2023, and his writings on nuclear energy have garnered recognition, including awards for notable technical papers.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.