Stephan Rasp
Staff Research Scientist at Google DeepMind
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolStephan Rasp is a Staff Research Scientist based in Munich with 12 years of experience at the intersection of meteorology and machine learning, focused on building the next generation of weather and climate models. He holds a PhD in Meteorology from Ludwig-Maximilians Universität and has progressed from academic postdoc work to leading ML-driven forecasting efforts in industry and at Google DeepMind. Stephan has pioneered deep learning–powered climate models during visiting roles and helped launch operational forecasting projects at Vulcan and ClimateAI, blending rigorous physical simulation knowledge with data-driven methods. At Google and DeepMind he moved research into large-scale, production-ready systems, mentoring teams and shaping strategy for ML-enhanced physical modeling. Colleagues know him for translating complex atmospheric science into practical ML solutions and for rare domain expertise that spans equations on the board to deployment in the cloud.
12 years of coding experience
7 years of employment as a software developer
Ludwig Maximilian University of MunichBachelor of Science - BS, Physical Geography, Bachelor of Science - BS, Physical Geography at The University of Hull
Github Skills (75)
benchmark10
python10
parameterization10
deep-learning10
gpu10
ml10
fastai10
neural-network10
data-science10
tensorflow10
pytorch10
machine-learning10
weather10
forecasting10
deep-neural-networks10
Programming languages (5)
Github contributions (5)
google-research/weatherbench2
May 2023 - Mar 2025
A benchmark for the next generation of data-driven global weather models.
Contributions:2 releases, 17 reviews, 13 PRs in 1 year 9 months
raspstephan/projecttraj
May 2014 - Jan 2016
Contributions:218 commits, 16 pushes in 1 year 9 months
msc-thesisthesismsc
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