Mirko Bunse
Postdoctoral Researcher at TU Dortmund University
Bielefeld, North Rhine-Westphalia, Germany
Summary
👤
Senior🎓
Top SchoolMirko Bunse is a postdoctoral researcher with nine years of experience at the intersection of machine learning foundations and astro-particle physics, currently based at the Lamarr Institute in Bielefeld. He develops methods for class prevalence estimation, learning under class-conditional label noise, unsupervised domain adaptation, and active control of simulations—research driven by highly imbalanced, simulation-heavy physics data. With a PhD and MSc from TU Dortmund, he blends rigorous theoretical work with practical needs of experimental physics, including cross-disciplinary collaborations like quantification-unfolding integration. Mirko’s background spans academia and industry software development, giving him fluency in both research and production-oriented engineering. He is particularly skilled at turning domain constraints (sim-to-real gaps, extreme class imbalance) into methodological advances rather than mere nuisances. Colleagues value his knack for steering simulation design strategically to yield more informative training data.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Paderborn UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at TU Dortmund University
German, English, Italian, French
Stackoverflow
1reputation
0reached
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Github Skills (77)
deconvolution9
julia9
hypothesis-tests9
parsing9
parse9
configuration-file9
hypothesis-testing9
scene8
statistics8
scenejs8
reactive8
optimization8
meter8
tikz8
pgfplots8
Programming languages (7)
Github contributions (5)
mirkobunse/CherenkovDeconvolution.py
May 2018 - Oct 2022
Deconvolution algorithms for Cherenkov astronomy and other use cases
Contributions:86 commits, 1 PR, 26 pushes in 4 years 5 months
deconvolutioncasesastronomyuse-cases
mirkobunse/CherenkovDeconvolution.jl
May 2018 - Jan 2023
Deconvolution algorithms popular in Cherenkov astronomy
Contributions:3 releases, 271 commits, 5 PRs in 4 years 8 months
deconvolutionpythonastronomy
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