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Rina Foygel Barber is the Louis Block Professor in the Department of Statistics at the University of Chicago, with a focus on Computational and Applied Mathematics. Her research interests center around the development and analysis of estimation, inference, and optimization tools for structured high-dimensional data problems. This includes work on sparse regression and nonparametric models as well as low-rank models. Professor Barber is dedicated to creating methods for false discovery rate control in settings with undersampled data and misspecified models. Additionally, she explores scalable optimization techniques for nonconvex problems and actively collaborates on modeling and optimization challenges within image reconstruction and medical imaging fields.
Department of Philosophy