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Bing Li is the Verne M. Willaman Professor of Statistics at Penn State University. He received his Ph.D. in Statistics in 1992 from the University of Chicago, and an M.Sc. in Statistics from the University of British Columbia in 1989. He also holds a Master of Science degree in System Sciences from the Graduate School of Beijing Institute of Technology in 1986 and a Bachelor of Science degree in Automatic Control from the same institution in 1982. Li is recognized for his work in Dimension Reduction, Machine Learning, Graphical Models, and Semiparametric Estimation. His research has been published in leading statistical journals and encompasses various methods such as estimating equations, quasilikelihood, and asymptotic theories. His renowned publication includes contributions to understanding dimensionality reduction through models that explore the statistical networks with applications to pathway analysis. His achievements reflect a dedicated pursuit of excellence in statistical research and education.
GRE scores are highly recommended but not strictly required for Applied Linguistics.