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Marten Wegkamp is a Professor in the Department of Mathematics at Cornell University. He earned his PhD in Mathematics from Leiden University in 1996. His research interests primarily focus on Applied Mathematics, Probability and Statistics, with a strong emphasis on Mathematical Statistics, empirical process theory, and high-dimensional statistics. Wegkamp has developed new methodologies in statistical learning, contributing significantly to the field through his various publications. Notable works include studies on interpolation and prediction in latent factor regression models, optimal estimation in sparse topic models, and weak convergence of empirical processes. Throughout his career, he has collaborated with multiple scholars, advancing the understanding of statistical theories and models. Wegkamp is actively teaching courses on Statistical Learning Theory and Theory of Statistics.
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