Argel Ramírez Reyes
Assistant Director - Modeling And Analytics. Tropical Cyclone Wind Hazard at Moody's
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolArgel Ramírez Reyes is an atmospheric scientist and tropical cyclone modeler with a decade of experience building high-performance simulation tools and hazard models at Moody’s Analytics. He brings a strong physics and HPC background from a PhD at UC Davis and an MSc in scientific computing, with hands-on research at Berkeley Lab and CEA in adaptive hydrodynamics. A Julia enthusiast who obsessively tunes performance, he blends fluid-dynamics intuition with production-grade code to quantify cyclone wind risk. Based in London, he leads modeling and analytics for tropical cyclone wind hazard, translating complex simulations into actionable risk products. Outside work, his longtime preference for Emacs hints at a pragmatic, efficiency-driven approach to tooling and reproducible research.
10 years of coding experience
1 year of employment as a software developer
PhD, Atmospheric Science, PhD, Atmospheric Science at University of California, DavisMaster of Science (MSc), Cómputo Científico, Supercómputo, Métodos numéricos, Master of Science (MSc), Cómputo Científico, Supercómputo, Métodos numéricos at Université de Lille - sciences et technologiesUniversidad Nacional Autónoma de México (UNAM)
Spanish, English, French
Github Skills (144)
programming-language10
chat10
julialang10
science10
julia10
numerical10
pluto10
slack10
machine-learning10
hpc10
geo10
perfect9
javascript9
simulations9
zulip9
Programming languages (13)
Github contributions (5)
aramirezreyes/RamirezReyes_ShallowWaterInFPlane
Mar 2021 - Dec 2022
A Shallow Water model with convective parameterization built on top of Oceananigans.jl
Contributions:2 releases, 189 commits, 32 PRs in 1 year 8 months
parameterizationclimateconvectionfluid-dynamicsgpu
aramirezreyes/aramirezreyes.github.io
Nov 2021 - Feb 2026
Contributions:72 pushes, 1 branch in 4 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.