Sebastian Fischer
PhD Candidate
Berlin, Germany
Summary
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RockstarSebastian Fischer is a Berlin-based PhD candidate and statistician with nine years of software and data science experience, blending rigorous research with practical engineering. He contributes to prominent open-source ML tooling—most notably improving core functionality and robustness in the mlr3 R ecosystem—demonstrating attention to testing, error handling, and reproducible measures. Comfortable working on core classes and reflection/testing infrastructure, he brings a detail-oriented approach to performance and correctness in production-grade libraries. His background suggests a knack for turning statistical theory into reliable, user-facing tools that scale across research and applied settings.
9 years of coding experience
Github Skills (7)
machine-learning10
r-package10
data-science10
r10
classification8
testing7
regression7
Programming languages (18)
Github contributions (5)
mlr-org/mlr3
Jan 2022 - Jan 2023
mlr3: Machine Learning in R - next generation
Role in this project:
Data Scientist
Data ScientistContributions:32 reviews, 40 commits, 111 PRs in 1 year
Contributions summary:Sebastian primarily contributed to improving the mlr3 package by addressing various issues related to error messages, reflections, and printing functionality. They fixed a bug in the autotest function for checking parameter tags. Furthermore, the user addressed a problem with elapsed time reporting incorrect values. Their changes involved modifications to core classes such as `Learner`, `Task`, and `Measure`, along with updates to testing and reflection components.
r-packageregressionnext-generationdata-sciencemachine-learning
slds-lmu/paper_2023_ci_for_ge
Aug 2023 - Jan 2025
Contributions:2 PRs, 194 pushes, 38 comments in 1 year 4 months
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