Uncertainty Quantification and Optimal Design

The Uncertainty Quantification and Optimal Design group focuses on quantifying and reducing uncertainties in the context of hi-fidelity models, with a main expertise on Gaussian Process methods and sequential design of computer experiments for optimization, inversion, and related problems. Application domains notably include energy and geosciences, with collaborations ranging from safety engineering to hydrology and climate sciences.

Video Presentation

Current Group Members

GINSBOURGER, David
(Senior Researcher)
- website


AZZIMONTI, Dario (Filippo)
(Postdoctoral Researcher)
- website


Alumni

Current Projects

Recent Projects

Nothing to list

Thesis award for Dario Azzimonti
education — Jan 09, 2017

Dr. Dario Azzimonti was awarded the C. Moser Award for outstanding Ph.D. or M.Sc. theses within the Institute of Mathematical Statistics and Actuarial Science of the University of Bern.