Jonas Heinze
Research Scientist at DeepL
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolJonas Heinze is a research scientist and data scientist based in Berlin with a PhD in theoretical physics and nine years of experience translating complex quantitative problems into production-ready ML solutions. He has driven ML projects end-to-end at DeepL and Streetbees, from opportunity identification and prototyping to deployment and monitoring, with a particular strength in designing scalable pipelines. His background in numerical simulation, high-performance computing and statistical modeling during his doctoral work gives him a rigorous mathematical and systems-first approach to applied ML. Jonas is comfortable moving between research and product contexts, turning novel NLP and modeling ideas into stakeholder-facing insights. Colleagues rely on him for technically sound prototypes that are engineered with production reliability in mind.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Physik, 2.0, Bachelor of Science - BS, Physik, 2.0 at Humboldt-Universität zu BerlinPhysik, Physik at Uppsala University
English, German
Stackoverflow
53reputation
21kreached
5answers
3questions
Github Skills (10)
cascade10
propagation9
http-live-streaming6
php6
sqlite6
ffmpeg6
ffprobe6
encryption6
cryptography6
aes6
Programming languages (2)
Github contributions (5)
joheinze/PriNCe
May 2017 - May 2020
Propagation including Nuclear Cascade equations
Contributions:2 releases, 184 commits, 9 PRs in 3 years
cascadeequationspropagationnuclear
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