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Hannah Morgan is an Assistant Instructional Professor in the Department of Computer Science at the University of Chicago, where she also serves as a Lecturer in the Master's Program in Computer Science. She has a strong background in high performance computing and numerical methods, and has previously worked as a postdoctoral appointee at Argonne National Laboratory. Her research focuses on developing performance models and algorithms for high performance computing, particularly in the context of solving large, sparse systems of equations. At Argonne, her work involved the execution of computational kernels on heterogeneous CPU-GPU architectures as part of the Exascale Computing Project. Her interests also extend to finite element algorithms and fluid models, with an emphasis on parallel and efficient implementations. Morgan is passionate about scientific discovery and is committed to advancing the frontiers of computational performance and intelligence at scale.
Department of Philosophy