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Xiaodong Li is an Associate Professor in the Department of Statistics at the University of California, Davis. His research focuses on high-dimensional inference, modern multivariate analysis, network data analysis, and signal processing. With a solid background in the field of statistics, he contributes significantly to advancing methodologies that address complex statistical problems. Xiaodong works on developing innovative approaches for analyzing network data and high-dimensional datasets, which are increasingly important in the era of big data. He is also dedicated to teaching and mentoring students in statistics, having guided several doctoral candidates through their studies. His work has been published in diverse academic journals, reflecting his expertise and contributions to the field.
Department of Computer Science. GRE is NOT required.