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Prasenjit Ghosh is an Instructional Assistant Professor at Texas A&M University in the College of Arts and Sciences. His research focuses on Bayesian modeling and inference, particularly in the context of multivariate and functional high-dimensional data. Ghosh specializes in statistical learning and machine learning methodologies, applying these techniques to advance the understanding of complex data structures. His work contributes to enhancing statistical methods and developing robust analytical strategies, which are essential in various scientific and engineering fields.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.