Professor of Applied and Computational Mathematics and Control and Dynamical Systems
Statistical Numerical Approximation. Numerical homogenization. Operator adapted wavelets. Fast solvers. Gaussian process regression. Machine learning. Multi-scale and stochastic analysis. Stochastic mechanics and geometric integration. Uncertainty Quantification.
Professor Owhadi's research concerns the exploration of interplays between numerical approximation, statistical inference and learning from a game theoretic perspective. Whereas the process of discovery is usually based on a combination of trial and error, insight and plain guesswork, his research is motivated by the facilitation/automation possibilities emerging from these interplays.