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Mateo Díaz is an assistant professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University, where he joined in 2023. He earned his PhD in Applied Mathematics from Cornell University in 2021, followed by a postdoctoral appointment at Caltech (2021–2023). Mateo’s research focuses on the interplay between continuous optimization, statistics, and geometry, as well as its applications to signal processing, data science, and machine learning. His work has been recognized with several honors, including the Beale–Orchard-Hays Prize, an NSF CAREER Award, and a Sloan Research Fellowship in Mathematics.