Daniel Leuenberger
Senior Scientist at MeteoSwiss
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolDaniel Leuenberger is a senior scientist at MeteoSwiss with nine years of experience in numerical weather prediction. He leads the maintenance, improvement, and development of the convective-scale ensemble data assimilation system, enabling more accurate forecasts. He blends atmospheric physics, numerics, statistics, and software engineering to tackle large datasets and complex models. His primary tools are Python, Ruby, and Fortran, reflecting a mix of modern scripting and high-performance computing. He earned a Dr. sc. ETH in Atmospheric Science and a Master in Computational Science and Engineering from ETH Zürich, underscoring a rigorous interdisciplinary foundation. Based in Zurich, he translates advanced scientific insight into robust, production-grade software that supports operational meteorology.
10 years of coding experience
Dr. sc. ETH, Atmospheric Science, Dr. sc. ETH, Atmospheric Science at Eidgenössische Technische Hochschule Zürich
German, English, French, Italian
Github Skills (7)
bootstrapping8
blueprint7
python5
cookiecutter5
gnu2
ruby2
jupyter1
Programming languages (4)
Github contributions (5)
MeteoSwiss-APN/f90nmlparse
Jun 2019 - Jun 2019
Contributions:2 pushes, 1 branch in 1 day
MeteoSwiss-APN/wdbreduce
Jun 2019 - Jun 2019
Contributions:2 pushes, 1 branch in 1 day
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