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Minisymposium Presentation

Discussion Session

Wednesday, June 5, 2024
13:00
-
13:30
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

Presenter

Eike
Mueller
-
University of Bath

Eike Mueller is an Associate Professor (Reader) in Scientific Computing at the University of Bath. His interests lie in efficient solvers for PDEs in atmospheric fluid dynamics, Multilevel Monte Carlo Methods and Machine Learning for differential equations. Eike's work on multigrid solvers has led to improvements to the operational Climate- and Weather forecast models used by the UK Met Office. Before joining the University of Bath, Eike obtained a PhD in Computational Particle Physics from the University of Edinburgh and worked on the parallelisation of numerical models for the transport and spread of atmospheric pollutants at the Met Office.

Description

This session will be an open discussion of how the respective advantages of sophisticated traditional simulation techniques and ML algorithms can be combined productively.

Authors