Fabian Scheipl
University Lecturer at Ludwig-Maximilians-Universität München
Munich, Bavaria, Germany
Summary
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RockstarFabian Scheipl is a University Lecturer and statistical consultant based in Munich with 14 years of experience bridging academic research and applied statistical practice. He teaches and advises at Ludwig-Maximilians-Universität München while providing statistical consulting to both business and academia, supervising student teams. His open-source contributions to the prominent R package lme4 show a deep, practical expertise in mixed-effects modeling, including careful bug fixes and improvements to formula parsing and bootstrapping routines. Fabian combines rigorous theoretical knowledge with hands-on code improvements that materially improve reproducibility and model reliability. Colleagues value him for turning subtle statistical issues into robust software fixes and for mentoring the next generation of applied statisticians. He brings a research-driven mindset to real-world problems, often focusing on the less obvious implementation details that determine analysis correctness.
14 years of coding experience
English, German, French
Github Skills (7)
formula10
statistical-models10
parsing10
parse10
formulas10
r10
bootstrapping9
Programming languages (13)
Github contributions (5)
lme4/lme4
Aug 2013 - Aug 2020
Role in this project:
Back-end Developer
Back-end DeveloperContributions:35 commits, 2 PRs, 2 pushes in 7 years
Contributions summary:Fabian primarily contributed to the R package `lme4`, which focuses on mixed-effects models. The commits demonstrate a focus on refining existing functionalities and fixing bugs related to the double vertical bar notation. Several commits correct formula parsing and the behavior of the `findbars` function. The user also made improvements to the `bootMer` function for bootstrapping.
r-packagemixed-effects-modelsrcppeigenmixed-effectsmixed-models
fabian-s/RLRsim
Aug 2014 - Mar 2020
R package for fast & exact (restricted) likelihood ratio tests for mixed and additive models
Contributions:52 commits, 3 PRs, 30 pushes in 5 years 8 months
r-packageadditive-modelsratiorestrictedlikelihood
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