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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.
Current Group Members