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Marten Wegkamp is a Professor in the Department of Mathematics at Cornell University, with additional affiliations in Statistics and Data Science. His research focuses on various aspects of statistical learning, especially high-dimensional inference and regression models. He has published extensively in reputable journals, advocating modern methodologies for statistical analysis in complex data settings. With a strong background in mathematical statistics, he has contributed significantly to topics such as latent variable models and empirical processes. His research interests include statistical learning, high-dimensional statistical inference, and the development of robust statistical methods applicable in bioinformatics and beyond. Wegkamp is known for his collaborative work and mentoring of students across undergraduate, masters, Ph.D., and postdoctoral programs, aiming to advance knowledge in statistical sciences.
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