Christoph Molnar
Machine Learning Author at Selbstständig
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolChristoph Molnar is an interpretable machine learning researcher and author based in Munich with 14 years of experience bridging statistics, applied ML, and science communication. He writes and maintains the widely used "Interpretable Machine Learning" book and newsletter, translating complex model-interpretability concepts into practical guidance for researchers and practitioners. As an independent author and consultant he has advised on regulatory and research projects, bringing rigorous statistical training from LMU Munich to real-world AI and healthcare settings. Beyond writing, his GitHub contributions show hands-on stewardship of his book—refining structure, licensing, and accessibility—reflecting a commitment to open, reproducible knowledge.
14 years of coding experience
4 years of employment as a software developer
Ludwig Maximilian University of Munich
German, Japanese, English
Stackoverflow
36reputation
1kreached
3answers
0questions
Github Skills (15)
markdown10
markdown-it10
bookdown10
documentation10
technical-writing10
interaction6
ice6
machine-learning6
random-forest6
binomial-coefficient6
gam6
equation6
r6
mgcv6
latex3
Programming languages (6)
Github contributions (5)
christophM/interpretable-ml-book
Mar 2017 - Jan 2023
Book about interpretable machine learning
Role in this project:
Technical Writer
Technical WriterContributions:8 releases, 2 reviews, 2608 commits in 5 years 11 months
Contributions summary:Christoph's commits primarily involve adding and modifying content within the project's documentation. The changes focus on refining the preface and adding a Creative Commons license, indicating a focus on the book's introductory sections and licensing details. Furthermore, the user updated the title and made improvements in the chapter structure, showing their involvement in the book's overall organization.
fairness-mlxaideep-learningmachine-learninginterpretable
christophM/rulefit
Oct 2015 - Feb 2022
Python implementation of the rulefit algorithm
Contributions:43 commits, 6 PRs, 32 pushes in 6 years 5 months
python-implementationrulefitpython
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