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Jeremy Hoskins received his PhD in applied mathematics from the University of Michigan and has served as a Gibbs assistant professor in mathematics at Yale University. His research focuses on the mathematical foundations of problems that arise in imaging, particularly in highly-scattering quantum systems. He is developing fast, efficient, and accurate algorithms for solving large-scale problems that occur in the simulation of complex optical systems. His methods have broad applications in various disciplines, including signal processing, genomics, acoustics, and medical imaging.
University of Chicago • Chicago, IL
Assistant Professor in the Department of Statistics.
Department of Philosophy