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Runmin Wang is an Assistant Professor in the Department of Statistics at Texas A&M University, part of the College of Arts and Sciences. His research focuses on change point inference, high-dimensional data analysis, and time series analysis. He is actively involved in teaching and research, sharing his expertise in statistical methodologies and their applications. With a commitment to advancing knowledge in the field, he engages with the academic community through publications and collaboration. Runmin aims to contribute to the development of innovative statistical techniques and their use in real-world scenarios.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.