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Joseph Kileel is an Assistant Professor in the Department of Mathematics at the University of Texas, Austin. He serves as a Core Faculty Member at the Oden Institute and is a member of the Graduate Studies Committee at the Oden Institute. His academic journey includes a postdoctoral fellowship in the Program of Applied Computational Mathematics at Princeton University from 2017 to 2020. In 2017, he earned his Ph.D. in mathematics from the University of California, Berkeley. Kileel specializes in applied mathematics, particularly in the areas of mathematical data science and computational algebra. His research interests are focused on various fields, including inverse problems, computer vision, and imaging science, with specific emphasis on cryo-electron microscopy and X-ray free electron lasers. Additionally, he explores fast methods in numerical tensor decompositions and the mathematical theory of non-convex optimization. His work contributes significantly to the fields of Statistics, Big Data, and Machine Learning, particularly within the scope of Applied Computational Mathematics.
Princeton University • Princeton, NJ
Postdoctoral position in Applied Computational Mathematics.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.