Vitus Benson

PhD Student at Max Planck Institute for Biogeochemistry

Jena, Thuringia, Germany
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Summary

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Senior
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Top School
Vitus Benson is a PhD student in computer science at ETH Zürich and a researcher at the Max Planck Institute for Biogeochemistry, bringing eight years of experience at the intersection of computational science and quantitative research. With academic foundations in mathematical physics and mathematics from institutions across Europe, he combines rigorous analytical skills with practical software development cultivated through long-term research assistantships and freelance projects. His background spans operations management, international study exchanges, and applied research, giving him a rare mix of domain breadth and technical depth. Known for collaborative, cross-disciplinary problem solving, he focuses on leveraging computation to tackle global challenges and maintains an active public portfolio showcasing his work.
code8 years of coding experience
job6 years of employment as a software developer
bookErasmus, Mathematics, Erasmus, Mathematics at University of Barcelona
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Göttingen
bookMaster of Science - MS, Mathematical Physics, Master of Science - MS, Mathematical Physics at University of Leipzig
bookErasmus, Mathematics, Erasmus, Mathematics at Санкт-Петербургский Государственный Университет
bookErasmus, Physics, Erasmus, Physics at Stockholm University
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
languagesGerman, English, Spanish
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Github Skills (64)

pytorch10
artificial-intelligence10
python10
ai10
data-science9
machine-learning9
pretrain9
deep-learning9
geospatial8
forecasting-models8
r7
nonlinear7
weather7
dynamical-systems7
stac7

Programming languages (6)

JuliaTypeScriptRHTMLJupyter NotebookPython

Github contributions (5)

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vitusbenson/neural_transport

Aug 2024 - Jun 2026

Neural Transport - A Python library to train neural network emulators of atmospheric transport models.
Contributions:11 reviews, 5 PRs, 28 pushes in 1 year 9 months
neural-networkpython
Contributions:6 releases, 9 commits, 2 PRs in 10 months
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