Statistical Science


Daniel Giles

PositionResearch Fellow
Email (@ucl.ac.uk)d.giles
Personal webpage 
ThemesComputational Statistics

Biographical Details

Dan joined the UCL Statistical Science department in 2021 after obtaining his PhD in Applied and Computational Mathematics (University College Dublin, Ireland). His research to date has focused on the mathematical and computational modelling of tsunamis, with the goal of mitigating the damage posed by these geophysical events. He has experience with developing highly efficient open source numerical approaches which utilise high performance computing frameworks and machine/statistical learning methods.

Research Interests

numerical solution of partial differential equations, data assimilation, statistical emulation, uncertainty quantification, high performance computing.

Selected publications

  • Reguly IZ, Giles D, Gopinathan D, Quivy L, Beck JH, Giles MB, Guillas S & Dias F. (2018) The VOLNA-OP2 tsunami code (version 1.5), Geoscientific Model Development, 11, 4621-4635. https://doi.org/10.5194/gmd-11-4621-2018