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Anderson Ye Zhang is an assistant professor at the University of Pennsylvania with a secondary appointment in the Department of Computer and Information Science. He has an extensive research background in statistics and machine learning. His interests include topics such as spectral analysis, group synchronization, ranking, pairwise comparisons, clustering, and mixture models. Zhang has contributed significantly to the field with several published articles focusing on optimal methods for statistical analysis and theoretical investigations into clustering and synchronization phenomena. He holds a PhD in Statistics and Data Science from Yale University, where he was advised by Professor Harrison Zhou. Zhang is also active in the academic community, serving as an associate editor for the Electronic Journal of Statistics and teaching various courses related to statistical inference and linear models.
University of Pennsylvania • Philadelphia, PA
Assistant Professor with a focus on statistics and machine learning, conducting research and teaching.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.