Jonas Jostmann
Doctoral Student at KTH Royal Institute of Technology
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolJonas Jostmann is a doctoral student at KTH in Stockholm with eight years of hands-on experience applying data science and machine learning to industrial problems. Prior to his PhD he spent several years at CLAAS progressing from intern to data scientist, focusing on practical deployments and digital twin applications for complex machinery. He holds an MS in Information Systems and a BSc in Wirtschaftsinformatik, combining strong academic training with product-oriented engineering. Jonas brings full-stack development roots and consultancy experience, which help him bridge research, production code, and stakeholder needs. Notably, his career blends deep technical work in transport and agricultural domains with an interest in turning digital twin research into scalable, real-world solutions.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Wirtschaftsinformatik, 2.0, Bachelor of Science - BS, Wirtschaftsinformatik, 2.0 at Westfälische Wilhelms-Universität MünsterAbitur, 1.5, Abitur, 1.5 at Walburgisgymnasium Menden
German, English, Latin, Danish
Github Skills (10)
transport9
traffic9
simulation9
eclipse8
statistics7
traffic-simulation7
python6
machine-learning5
data-science4
data-analysis4
Programming languages (3)
Github contributions (5)
jonasjostmann/ddm-policy-iteration
May 2019 - Jul 2019
Contributions:40 commits, 1 push, 5 issues in 2 months
zhenliangma/Applied-AI-in-Transportation
Aug 2024 - Aug 2025
Contributions:2 PRs, 13 pushes, 1 branch in 1 year
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