Lennart Schäpermeier
Wissenschaftlicher Mitarbeiter at Universität Münster
Münster, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolLennart Schäpermeier is a research-focused software engineer with eight years' experience advancing automated optimization and data-driven methods within academic labs in Germany. Currently a Wissenschaftlicher Mitarbeiter at Universität Münster after roles at ScaDS.AI Dresden/Leipzig and TU Dresden, he bridges computational social science, systems analysis and transportation-focused big data analytics. He holds an M.Sc. in Information Systems and has a practical teaching and tutoring background in algorithms, statistics and data analytics. Known for turning theoretical optimization ideas into reproducible code and experiments, he combines rigorous research practices with hands-on implementation. A period as an exchange student in Turku and early industry experience at zeb consulting add international perspective and applied business understanding to his research toolkit.
8 years of coding experience
Master of Science Information Systems, Master of Science Information Systems at University of MünsterExchange Student, Exchange Student at Turku School of Economics at the University of Turku
Github Skills (7)
r-package9
r7
multi-objective-optimization7
matlab7
octave6
python4
numerical-optimization3
Programming languages (2)
Github contributions (5)
kerschke/moPLOT
Jun 2020 - Oct 2022
Contributions:196 commits, 116 pushes in 2 years 4 months
schaepermeier/smoof
Nov 2021 - Feb 2024
Single- and Multi-Objective Optimization Test Functions
Contributions:26 pushes, 18 branches in 2 years 3 months
optimizationmulti-objectivemulti-objective-optimization
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