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Prof Guillas leading new project on Uncertainty Quantification, funded by the Alan Turing Institute

29 January 2019

Prof Guillas leading new project on Uncertainty Quantification, funded by the Alan Turing Institute.

Serge Guillas has been awarded funding for the project "Uncertainty Quantification Of Multi-scale And Multi-physics Computer Models: Applications To Hazard And Climate." (UQM3), sponsored by the Alan Turing Institute. It is in collaboration with the Universities of Oxford (Michael Giles), Warwick (Suhaib Fahmy and Gihan Mudalige) and Exeter (Daniel Williamson). 

The project will make use of supercomputing resources awarded separately from EPRSC. It also benefits from the expertise of several Research Software Engineers of the Alan Turing Institute, and involves several PhD students and postdocs from the research group of Prof Guillas. 

The Alan Turing Institute is the national institute for data science and artificial intelligence, with headquarters at the British Library. UQM3 is part of the Data-centric Engineering (DCE) programme of the Turing, and in particular the challenge area of resilient and robust infrastructure.