Andreas Mueller
Scientist at European Centre for Medium-Range Weather Forecasts
Bonn, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolAndreas Mueller is a scientist with eight years of experience developing high-performance numerical methods for geophysical fluid dynamics and operational weather prediction, currently working on energy-efficient, scalable algorithms for exascale at ECMWF. He combines deep expertise in Fortran/C and HPC performance optimization with advanced numerical techniques such as discontinuous Galerkin and adaptive mesh refinement, applied to turbulence and atmospheric modeling. His background spans academic and applied research—from implementing adaptive DG simulations of cumulus clouds to devising PV-inversion models for the tropopause—bridging theoretical meteorology and production forecasting systems. Notably, he brings a track record of translating research-grade algorithms into performant code for supercomputing environments, reflecting both scientific rigor and practical engineering.
8 years of coding experience
4 years of employment as a software developer
Doctor of Natural Sciences, Meteorology, Doctor of Natural Sciences, Meteorology at University of Mainz
German, English, French
Github Skills (7)
prediction10
ifs10
python9
atmospheric-modelling9
fortran9
clang2
cpp2
Programming languages (2)
Github contributions (5)
anmrde/spectral
Jul 2017 - Apr 2022
Contributions:71 commits, 66 pushes, 1 branch in 4 years 9 months
anmrde/ectrans
Jun 2022 - Feb 2024
Global spherical harmonics transforms library underpinning the IFS
Contributions:1 PR, 47 pushes, 3 branches in 1 year 7 months
harmonicsspherical-harmonicsifsspherical
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