Houman Owhadi
Houman Owhadi is a professor of Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the California Institute of Technology. He is known for his work in statistical numerical approximation, kernel learning, and uncertainty quantification.
Houman Owhadi | |
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Alma mater | École Polytechnique EPFL |
Known for | Statistical numerical approximation Kernel methods Uncertainty quantification |
Awards | Germund Dahlquist Prize (2019) Fellow, SIAM (2022) |
Scientific career | |
Fields | Applied mathematics |
Institutions | California Institute of Technology CNRS |
Doctoral advisor | Gérard Ben Arous |
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