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Jonathan's research and teaching interests lie broadly in data-based analytics. His current research focuses on developing statistical methodology for data sets with complex dependence structures as well as functional data and discrete data. This work finds applications in areas such as information systems, economics, and finance. He earned his Ph.D. in Business Analytics from the University of Cincinnati in 2023, emphasizing discrete data analysis and functional data analysis with applications to information systems, economics, and finance.
Department of Computer Science: GRE scores are optional for Fall 2026.