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Teng Andrea Xu is a Ph.D. student at École Polytechnique Fédérale de Lausanne (EPFL), supervised by professor Semyon Malamud and sponsored by the Swiss National Science Foundation (SNSF) grant. His main research centers on machine learning, its theoretical background, and its applications. In particular, his research focuses on representational learning, kernel methods, and neural network behavior in the over-parametrized regime. At the same time, he is also involved in empirical asset pricing and decentralized finance. Before that, he received his Ms.C. summa cum laude in Engineering in Computer Science from The University of Rome “La Sapienza.