Martin Kabierski
Postdoctoral Researcher at Universität Wien
Austria
Summary
👤
Senior🎓
Top SchoolMartin Kabierski is a postdoctoral researcher in Austria with a decade of experience applying statistical, approximation and stochastic methods to advance conformance checking and process mining. He completed his MSc and PhD work at Humboldt-Universität zu Berlin, where he combined research on runtime-efficient, quality-guaranteed algorithms with teaching and supervision of student projects and theses. His background spans academic research roles and industry experience at Signavio, giving him practical insight into process-aware systems and toolchains. Martin’s work emphasizes turning computationally complex problems into provably reliable, scalable solutions—often by blending probabilistic techniques with approximate algorithms. Colleagues note his ability to bridge rigorous theory and hands-on implementation, making sophisticated methods usable in real-world digital process analysis.
10 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Humboldt-Universität zu Berlin
Github Skills (5)
approximation8
sampling8
procedure5
python1
java1
Programming languages (2)
Github contributions (5)
MartinKabierski/Conformance_Sketching
Jul 2020 - Jan 2021
ProM-Plugin for sample-based conformance Checking with statistical guarantees. The plugin contains the sampling procedure, alignment approximation methods and quality ensurance mechanisms.
Contributions:12 commits, 3 PRs, 32 pushes in 6 months
promconformancestatisticalalignmentchecking
MartinKabierski/privacy-aware-ppinot
Jan 2020 - Sep 2022
Contributions:15 commits, 5 PRs, 25 pushes in 2 years 8 months
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