Helge Wiedmann
Tech Lead Software Architect at SensoPart
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolHelge Wiedmann is a tech lead and software architect with 12 years of experience crafting industrial automation solutions that combine 2D/3D image processing, deep learning and robotics integration. Based in Freiburg, he has progressed through roles at SensoPart from software engineer to head of software and now leads vision software development and architecture, bridging hands-on engineering with team leadership. His academic background—a Dr. rer. nat. in computational biology, a Diplom in physics and a BSc in economics—enables a rare mix of mathematical modeling, data science and practical systems thinking. He previously applied mechanistic ODE modeling and maximum-likelihood inference in systems biology, and brings that rigor to robust perception and control pipelines for automation. Notably, Helge pairs research-grade quantitative methods with product-focused delivery, making complex models deployable in real-world industrial settings.
12 years of coding experience
5 years of employment as a software developer
Dr. rer. nat., Computational Biology, Dr. rer. nat., Computational Biology at The University of Freiburg
German, English
Github Skills (29)
python10
machine-learning10
matlab10
deep-learning10
systems-biology10
computational-biology10
data-science9
ode9
benchmark9
dynamical-systems9
agent-based-modeling9
benchmarking9
tensorflow9
derivative9
parameter-estimation9
Programming languages (3)
Github contributions (5)
Benchmarking-Initiative/Benchmark-Models
Aug 2018 - Nov 2018
A collection of ODE models with experimental data as benchmark problems in order to evaluate new and existing methodologies for data-based modelling
Contributions:18 commits, 2 PRs, 15 pushes in 3 months
benchmarkingevaluateproblemsbenchmarkbenchmarks
Data2Dynamics/d2d
Mar 2014 - Nov 2018
Contributions:159 commits in 4 years 8 months
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