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Professor Houman Owhadi holds the IBM Professorship in the Department of Computing and Mathematical Sciences at the California Institute of Technology. He obtained his Bachelor’s degree from École Polytechnique in France in 1994, followed by a Master's from École Nationale des Ponts et Chaussées in 1997, and a Ph.D. from École Polytechnique Fédérale de Lausanne in Switzerland in 2001. He served as an Assistant Professor at Caltech from 2004 to 2011, before being promoted to Professor in 2011. His research primarily focuses on statistical numerical approximation, numerical homogenization, operator adapted wavelets, fast solvers, and Gaussian process regression. He also delves into machine learning, multi-scale stochastic analysis, stochastic mechanics, geometric integration, and uncertainty quantification. His recent work emphasizes the interplay between numerical approximation and statistical inference from a game-theoretic perspective, exploring the discovery process through the combination of trial and error with insights drawn from plain guesswork.
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