Mateo Díaz

Mateo Díaz is an Assistant Professor in the Department of Statistics and the Data Science Institute at the University of Chicago. His research lies at the intersection of continuous optimization, geometry, and statistics. He develops mathematical foundations and scalable algorithms for problems arising in data science, machine learning, and signal processing. Before joining the University of Chicago, he was an Assistant Professor of Applied Mathematics and Statistics at Johns Hopkins University. He previously spent two years as a postdoctoral scholar at Caltech. Mateo received his Ph.D. in Applied Mathematics from Cornell University in 2021 and earned bachelor’s degrees in Mathematics and in Systems and Computing Engineering, as well as a master’s degree in Mathematics, from Universidad de los Andes in Colombia. His work has been recognized with the Beale–Orchard-Hays Prize, an NSF CAREER Award, and a Sloan Research Fellowship in Mathematics.