About

I am a PhD Student at the Ludwig-Maximilians-University at the chair of Statistical Learning and Data Science, working on MaRDI, the mathematical research data initiative. I am mostly working on machine learning software in R, including the mlr3 ecosystem, as well as accelerated computing.

I am also interested in statistical inference for the generalization error. </p>

I obtained a Bachelor's Degree (B.A.) in Philosophy & Economics from the University of Bayreuth and a Master's Degree (M.Sc.) in Statistics from the Ludwig-Maximilians-University Munich.

Contact

Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

sebastian.fischer [at] stat.uni-muenchen.de

Research Interests

• Machine Learning
• Software Engineering
• R
• Benchmarking

You Can Find me on

• GitHub
• Google Scholar
• ORCID

Software (Selection)

• anvl
• mlr3torch
• mlr3extralearners
• mlr3oml

References

1. Fischer S, Burk L, Zhang C, Bischl B, Binder M (2026) mlr3torch: A Deep Learning Framework in R based on mlr3 and torch. arXiv preprint arXiv:2604.18152.
2. Zobolas J, George A-M, López A, Fischer S, Becker M, Aittokallio T (2026) Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data. BioData Mining.
3. Schulz-Kümpel H, Boulesteix A-L, Fischer S, Hornung R (2025) Challenges in Resampling-Based Performance Estimation Foundations and Advances of Machine Learning in Official Statistics, pp. 49–70. Springer.
4. Fischer S, Zobolas J, Sonabend R, Becker M, Lang M, Binder M, Schneider L, Burk L, Schratz P, Jaeger BC, others (2025) mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration. Journal of Open Source Software 10, 8331.
5. Bischl B, Casalicchio G, Das T, Feurer M, Fischer S, Gijsbers P, Mukherjee S, Müller AC, Németh L, Oala L, others (2025) OpenML: Insights from 10 years and more than a thousand papers. Patterns 6.
6. Schulz-Kümpel H, Fischer S, Hornung R, Boulesteix A-L, Nagler T, Bischl B (2024) Constructing Confidence Intervals for’the’Generalization Error–a Comprehensive Benchmark Study. arXiv preprint arXiv:2409.18836.
7. Fischer SF, Feurer M, Bischl B (2023) OpenML-CTR23–a curated tabular regression benchmarking suite AutoML Conference 2023 (Workshop),
8. Schmid H-J, Würschinger Q, Fischer S, Küchenhoff H (2021) That’s Cool. Computational Sociolinguistic Methods for Investigating Individual Lexico-grammatical Variation. Frontiers in Artificial Intelligence 3, 89. https://www.frontiersin.org/article/10.3389/frai.2020.547531.
9. Eschle S, Hartmann K, Rieger A, Fischer S, Klima A, Bergmann M (2020) Canine vaccination in Germany: A survey of owner attitudes and compliance. PLOS ONE 15, 1–20. https://doi.org/10.1371/journal.pone.0238371.