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Jeffrey Regier is an Assistant Professor in the Department of Statistics at the University of Michigan. His research primarily focuses on statistical methods, including probability theory, and their applications in various scientific fields. With a solid foundation in statistical analysis, Regier employs advanced statistical techniques to solve complex real-world problems. He is passionate about teaching and mentoring students in the field of statistics and is committed to advancing statistical education and research.
Department of Statistics, University of Michigan • Ann Arbor, MI
Teaching and conducting research in statistical methods and applications.
Department of Electrical Engineering and Computer Science