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Debangan Dey is an Assistant Professor at Texas A&M University, specifically within the College of Arts and Sciences. His research primarily focuses on statistical methods relevant to health technologies and mental health assessments. With a keen interest in Functional Data Analysis, Dey explores complex data structures that arise in various fields, especially in the context of digital health. He also investigates Spatiotemporal Data and Structural Equation Modeling to better understand relationships within health-related datasets. Moreover, Dey’s work extends to the analysis of data collected from Wearables and the use of Ecological Momentary Assessment (EMA) methodologies, contributing to advancements in mental health technology. He engages in multiple research projects that apply statistical techniques to enhance digital health solutions, aiming to impact public health positively.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.