Marten Wegkamp

Dr. Marten Wegkamp explores cutting-edge topics in mathematics and statistics at Cornell University, where he serves as a Professor in the Department of Mathematics and the Department of Statistics & Data Science. His research delves into the realms of empirical process theory, high-dimensional statistics, copulas, and statistical learning. With a keen interest in nonparametric regression and mathematical statistics, Dr. Wegkamp is at the forefront of developing innovative methodologies that push the boundaries of statistical learning theory. Dr. Wegkamp's scholarly contributions are widely recognized, with numerous publications in prestigious journals such as the Annals of Statistics, Journal of Machine Learning Research, and Bernoulli. His work not only advances theoretical understanding but also has practical implications in the field of data science, where high-dimensional data and complex models are increasingly prevalent. In addition to his research, Dr. Wegkamp is dedicated to education, teaching both undergraduate and graduate courses in statistics at Cornell. His commitment to fostering a deep understanding of statistical principles among his students is evident in his engaging teaching style and comprehensive curriculum. Dr. Wegkamp's courses are designed to equip students with the skills necessary to tackle real-world data challenges, preparing them for successful careers in academia, industry, and beyond. Through his research and teaching, Dr. Wegkamp continues to make significant contributions to the field of statistics, inspiring the next generation of statisticians and data scientists. His work not only enriches the academic community but also has a lasting impact on the broader field of data science, where his methodologies are applied to solve complex problems across various domains.