Martin Beyß
Wissenschaftlicher Mitarbeiter at Forschungszentrum Jülich
Aachen, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolMartin Beyß is a pragmatic software engineer and researcher with eight years of experience building C++ and Python systems for Linux environments, currently working as a Wissenschaftlicher Mitarbeiter at Forschungszentrum Jülich. He has delivered embedded and systems software for industrial radar-based collision avoidance and positioning, as well as control software for heavy industry, combining low-level reliability with applied research. Trained at RWTH Aachen with a Diplom in Computer Science, he brings a strong experimental mindset—evident from earlier work predicting yarn parameters via acoustic emission—to production-grade engineering. Comfortable as both developer and sysadmin, he bridges experiment infrastructure and deployed embedded systems across research and industry settings. Colleagues rely on him for pragmatic solutions to hard integration problems and long-lived, maintainable code in resource-constrained environments.
8 years of coding experience
4 years of employment as a software developer
Diplom, Computer Science, Diplom, Computer Science at RWTH Aachen University
Github Skills (31)
simulator9
metabolic-models9
modeling8
matlab8
simulation7
simulation-framework7
flux7
liquid6
machine-learning6
python6
modular6
raw-data5
journal5
inverse-problems4
parsing4
Programming languages (3)
Github contributions (5)
modsim/FluxML
May 2019 - Nov 2022
A Universal Modeling Language for Metabolic Flux Analysis
Contributions:28 commits, 18 PRs, 31 pushes in 3 years 7 months
metabolic-modelsspecification-languagemetabolic-engineering13c-mfamachine-learning
JuBiotech/MooViE
Mar 2024 - Apr 2024
Contributions:1 release, 20 pushes, 5 branches in 1 month
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