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Owhadi won the EPFL doctorate award for his thesis in 2001. He was an invited lecturer at the SIAM conference on
Computational Science and Engineering in 2015 and a plenary speaker at the XVI International Conference on Hyperbolic Problems. In 2019, he received the SIAM Germund Dahlquist Prize. He
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Owhadi is noted for his work in the field of statistical numerical approximation, which explores the interplay between numerical approximation and statistical inference,. His work has influenced the field of
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fellow in 2022 for "outstanding contributions in statistical numerical approximation, kernel learning, and uncertainty quantification".He was elected as part of the 2024 class of
Vannevar Bush Fellows, the
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Research Fellow between 2001 and 2004. He joined the
California Institute of Technology in 2004 and became Professor of Applied & Computational Mathematics and Control & Dynamical Systems in 2011.
574:"(PDF) XVI International Conference on Hyperbolic Problems www ... · Scientifi c Committee Alberto Bressan (USA) · Gui-Qiang Chen (UK) · Camillo De Lellis (Switzerland) · Helge Holden"
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is a professor of
Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the
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He has also worked on
Gaussian processes and kernel methods, the problem of kernel learning, and numerical homogenization.
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where he received a M.S. in
Mathematics and Physics in 1994 and was a civil servant in the
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628:"DOD Announces 2024 Vannevar Bush Fellows to Pursue Breakthrough Research"
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Operator-Adapted
Wavelets, Fast Solvers, and Numerical Homogenization
556:"A Calculus for the Optimal Quantification of Uncertainties | SIAM"
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Owhadi, Houman; Scovel, Clint; Schäfer, Florian (1 November 2019).
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may have been created or edited in return for undisclosed payments
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Hennig, Philipp; Osborne, Michael A.; Kersting, Hans P. (2022).
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Fellows of the
Society for Industrial and Applied Mathematics
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Ghanem, Roger; Higdon, David; Owhadi, Houman, eds. (2017).
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40:. It may require cleanup to comply with Knowledge (XXG)'s
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Probabilistic
Numerics: Computation as Machine Learning
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in 1997. He received his Ph.D. in mathematics from the
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to it so that it can be listed with similar articles.
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