Stephane Chamberland
Research Assistant In Meteorology at Environment Canada
Laval, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolStephane Chamberland is a seasoned meteorological researcher and software engineer with 15 years at Environment Canada, specializing in numerical weather prediction tools, high-performance computing, and scientific software development. He combines deep domain knowledge in atmospheric sciences (M.Sc., DEA) and physics with hands-on expertise in C, Fortran for HPC, Python (including C-API and SciPy), UNIX, and web technologies. At the Meteorological Research Division he has developed and maintained core libraries and visualization/manipulation tools that run from PCs to IBM supercomputers, bridging operational needs and research. Comfortable both debugging legacy scientific code and optimizing performance on modern architectures, he also brings practical systems administration and tooling experience from leading Informatics Services. Based in Laval, Quebec, he pairs long-term institutional knowledge with a curiosity for cross-disciplinary tooling—an asset for teams needing reliable, production-ready meteorological software.
15 years of coding experience
Certificate, Education, Certificate, Education at Université LavalDEA, Science de l'atmosphere, DEA, Science de l'atmosphere at Université Paul Sabatier Toulouse IIIM.Sc., Atmospheric Sciences, M.Sc., Atmospheric Sciences at UQAM | Université du Québec à MontréalCollege Campigny
English, French, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
rpn10
python-modules10
interoperability10
cffi10
python8
coding-style7
prediction7
meteorology7
fortran6
weather-data6
routines6
forecast5
formatter4
developer-tools4
machine-learning3
Programming languages (2)
Github contributions (5)
meteokid/fprettify
Jun 2019 - Jun 2019
auto-formatter for modern fortran source code
Contributions:7 pushes, 4 branches in 7 days
beautifiermodern-fortranslugbeautifyauto-formatter
ECCC-ASTD-MRD/librmn
Jul 2015 - Jan 2016
Collection of routines for numerical weather prediction
Contributions:3 commits in 6 months
meteorologypythonpredictionnwpmachine-learning
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