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Richard Guo is an Assistant Professor in the Department of Statistics at the University of Michigan. He completed his PhD in Statistics at the University of Washington in 2021 and holds a Master’s degree in Computer Science from Duke University, earned in 2016. His research focuses on developing statistical methods and computational techniques to analyze complex data. He employs machine learning techniques and statistical modeling to extract meaningful insights from large datasets. Richard has published numerous articles in peer-reviewed journals and is actively involved in teaching and guiding students in the field of statistics. His commitment to advancing the field of statistics is reflected in his research, which addresses both theoretical and practical challenges in statistical analysis.
University of Michigan • Ann Arbor, MI
Engaged in teaching, research, and mentoring students in statistics.
Department of Electrical Engineering and Computer Science