About

From April 2021 until March 2026, I was as a PhD student at the Chair of Statistical Learning and Data Science at LMU Munich in a position shared with the Emmy Noether Junior Research Group: Beyond Prediction at Leibniz Institute for Prevention Research and Epidemiology - BIPS in Bremen.

Contact

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Achterstraße 30

D-28359 Bremen

burk [at] leibniz-bips.de

You Can Find me on

• lukasburk.de
• GitHub: @jemus42
• ORCID: 0000-0001-7528-3795
• Google Scholar
• Mattermost

References

1. Burk L, Zobolas J, Bischl B, Bender A, Wright MN, Sonabend R (2026) A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data. Bioinformatics, btag186.
2. Burk L, Ewald FK, Casalicchio G, Wright MN, Bischl B (2026) Xplainfi: Feature Importance and Statistical Inference for Machine Learning in R.
3. Blesch K, Koenen N, Kapar J, Golchian P, Burk L, Loecher M, Wright MN (2025) Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests. Proceedings of the AAAI Conference on Artificial Intelligence 39, 15596–15604.
4. Piller J, Orsini L, Wiegrebe S, Zobolas J, Burk L, Langbein SH, Studener P, Goeswein M, Bender A (2025) Reduction Techniques for Survival Analysis.
5. Burk L, Bender A, Wright MN (2025) High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression. Biometrical Journal 67, e70036.
6. Coyle-Asbil HJ, Burk L, Brandes M, Brandes B, Buck C, Wright MN, Vallis LA (2024) Energy Expenditure Prediction in Preschool Children: A Machine Learning Approach Using Accelerometry and External Validation. Physiological Measurement 45, 095015.
7. Sonabend R, Zobolas J, Kopper P, Burk L, Bender A (2024) Examining Properness in the External Validation of Survival Models with Squared and Logarithmic Losses.
   link | pdf.
8. Sonabend R, Pfisterer F, Mishler A, Schauer M, Burk L, Mukherjee S, Vollmer S (2022) Flexible Group Fairness Metrics for Survival Analysis.