Biosketch

Mateo Díaz is the Faraco Family Assistant Professor of Data Science at the University of Chicago, in the Department of Statistics and the Data Science Institute. Before joining UChicago, he was an Assistant Professor at Johns Hopkins University and a postdoctoral scholar at Caltech. He earned his Ph.D. in Applied Mathematics at Cornell University in 2021. He holds dual bachelor’s degrees in Mathematics and in Systems and Computing Engineering, and a master’s in Mathematics from Universidad de los Andes (Colombia). Mateo’s research lies at the intersection of continuous optimization, geometry, and statistics, focusing on developing efficient large-scale algorithms for data science, machine learning, and signal processing. His work has been recognized by several awards, including the Beale–Orchards-Hay Prize, a NSF CAREER, and a Sloan Research Fellowship in Mathematics.