Oscar F. Leong
von Karman Instructor in Computing and Mathematical Sciences
Degrees and Appointments
B.A., Swarthmore College, 2016; M.A., Rice University, 2019; Ph.D., 2021. Caltech, 2021-23.
Oscar Leong’s research interests lie at the intersection of inverse problems, signal processing, and machine learning. His work incorporates data-driven priors for natural signals, such as deep generative models, to help solve ill-posed inverse problems and uses tools from high-dimensional probability, random matrix theory, and optimization to develop statistical and algorithmic guarantees for such approaches.