Daniel Giles
Technical Specialist Climate Modelling And Monitoring
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDaniel Giles is a technical specialist in climate modelling and monitoring with nine years’ experience applying machine learning, numerical methods and high-performance computing to weather, ocean and tsunami problems. Currently at ARIA and an Honorary Associate Professor at UCL, he leads MOAP’s Tools, Systems and Practices workstream and has steered projects from production-level tsunami warning emulators to peta-scale cosmology code optimisations. He combines strong mathematical modelling and software engineering skills—building open-source data assimilation tools in Julia and architecture-aware HPC pipelines—with a track record of peer-reviewed publications and industry partnerships (Met Office, AON). Known for translating research into operational capability, he also co-developed training frameworks for the Transatlantic Data Science Academy, evidencing his commitment to workforce development in Earth observation.
9 years of coding experience
6 years of employment as a software developer
High School, High School at Clongowes Wood CollegeDoctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at University College Dublin
English
Github Skills (22)
markdown9
gravity9
simulations9
jekyll9
hydrodynamics8
html8
jekyll-theme8
github-pages8
simulation8
cosmology8
astrophysics7
mpi7
gitlab6
hpc6
swift5
Programming languages (6)
Github contributions (5)
DanGiles/volna
Aug 2018 - Mar 2025
VOLNA-OP2
Contributions:1 release, 12 PRs, 65 pushes in 6 years 8 months
DanGiles/speedy_mogp_hybrid
Sep 2024 - May 2026
Contributions:2 releases, 1 review, 3 PRs in 1 year 8 months
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