Fabian Scheipl

University Lecturer at Ludwig-Maximilians-Universität München

Munich, Bavaria, Germany
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Summary

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Fabian 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.
code15 years of coding experience
languagesEnglish, German, French
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Github Skills (5)

statistical-models10
parsing10
parse10
r10
bootstrapping9

Programming languages (12)

JuliaRC++CSCSSTeXJavaScriptLua

Github contributions (5)

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fabian-s/registr

Mar 2021 - Feb 2026

Register exponential family curves
Contributions:1 push, 2 branches in 5 years
exponential-familyexponentialregistercurves
tidyfun/tidyfun

Sep 2017 - Jun 2022

Clean, wholesome, tidy fun with functional data in R
Contributions:9 reviews, 389 commits, 52 PRs in 4 years 9 months
r
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