Jussi Leinonen
Solutions Architect at NVIDIA
Verscio, Ticino, Switzerland
Summary
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Rockstar🎓
Top SchoolJussi Leinonen is a Solutions Architect at NVIDIA with 13 years of experience applying data science and machine learning to atmospheric science, specializing in cloud and precipitation radar. His career bridges academic research and operational meteorology, including roles at MeteoSwiss, EPFL, UCLA, and two stints at NASA JPL, where he focused on satellite measurements of clouds and precipitation. He holds a Doctor of Science in Technology (Physics) from Aalto University and brings deep domain expertise in radar data problems alongside practical experience deploying ML-driven solutions. Based in Verscio, Switzerland, he combines rigorous research instincts with production-oriented engineering—an unusual blend that helps translate complex remote-sensing science into scalable, real-world applications.
13 years of coding experience
12 years of employment as a software developer
Doctor of Science in Technology, Physics, Doctor of Science in Technology, Physics at Aalto UniversityMaster of Science (MS), Engineering Physics, Master of Science (MS), Engineering Physics at Teknillinen korkeakoulu-Tekniska högskolan
Github Skills (43)
algorithms10
pytorch10
python10
machine-learning10
climate-science10
weather10
deep-learning10
physics10
optical-flow10
ai10
fine-tuning10
generative-adversarial-network9
scipy9
resampling9
hydrology9
Programming languages (4)
Github contributions (5)
jleinonen/geogan
Jul 2019 - May 2020
Contributions:1 release, 10 commits, 8 pushes in 10 months
jleinonen/downscaling-rnn-gan
May 2020 - Jun 2021
Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
Contributions:1 review, 7 commits, 1 PR in 1 year 1 month
super-resolution
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