OSCAR LEONG is an Assistant Professor in the Statistics and Data Science department at UCLA. Previously, he was a von Kármán Instructor at Caltech in the Computing + Mathematical Sciences department, hosted by Venkat Chandrasekaran, where he also worked closely with Katie Bouman and the Computational Cameras group. He completed his PhD from Rice University in Computational and Applied Mathematics under the supervision of Paul Hand and was an NSF Graduate Research Fellow. He received his undergraduate degree in Mathematics from Swarthmore College.
His research interests lie in the mathematics of data science, inverse problems, machine learning, and optimization. Much of his work concerns solving signal recovery problems with approaches inspired by deep learning and uses tools from high dimensional probability, convex and star geometry, random matrix theory, and optimization to develop provable recovery guarantees.
His wife is in developmental psychology and they welcomed their first daughter, Gemma, in May of 2023.