- Assistant Professor of Computing and Mathematical Sciences and Economics
Eric Mazumdar's research lies at the intersection of machine learning and economics. He is broadly interested in developing the tools and understanding necessary to confidently deploy machine learning algorithms into societal-scale systems. Practically, he applies his work to work to problems in intelligent infrastructure, online markets, e-commerce, and the delivery of healthcare.
- Franca will join Caltech in Fall 2022
Franca Hoffmann's research is focused on the interface between applied mathematics and data analysis, driven by the need to provide rigorous mathematical foundations for modeling tools used in applications.
- von Karman Instructor in Computing and Mathematical Sciences
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.