Lukas Fehring is a PhD student and machine learning engineer based in Hanover with five years of hands-on experience building research-driven ML tooling and experimentation infrastructure. He progressed from tutoring theoretical computer science to developing PyExperimenter and contributing to predictive maintenance and AutoML projects at Universität Paderborn, then continued as a research assistant before starting his doctoral work at LUH-AI. Lukas blends practical software engineering with academic rigor—comfortable implementing experiment pipelines, databases for results tracking, and reproducible research practices. He holds a BSc in Computer Science from Universität Paderborn and is pursuing a Master's at Leibniz Universität Hannover, demonstrating a steady move from applied research to deeper specialization. An understated detail: he has repeatedly taken roles that bridge pure theory and production-ready code, making him adept at translating research ideas into reliable tools.
5 years of coding experience
Bachelor of Science - BS, Computer Science, 1.6, Bachelor of Science - BS, Computer Science, 1.6 at Universität Paderborn
Master's degree, Computer Science, Master's degree, Computer Science at Leibniz Universität Hannover
This repository holds the code for our paper "Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis" by Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr and Eyke Hüllermeier.
Contributions:2 PRs, 46 pushes, 3 branches in 8 months
Contributions:35 pushes, 1 branch in 1 year 8 months
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