Machine Learning and Dynamical SystemsApply
Raul F. Tempone
Professor, Applied Mathematics and Computational Science
He is also interested in the development and analysis of efficient numerical methods for optimal control, uncertainty quantification and bayesian model calibration, validation and optimal experimental design. The areas of application he considers include, among others, engineering, chemistry, biology, physics as well as social science and computational finance.