Forschungsinteresse
- Zufällige Graphen
- Statistik
- Verteilungen mit schweren Rändern
Maschinelles Lernen
Forschung
- AMOR: Adaptive Modal Operator Refinement for Operator Learning on Arbitrary Meshes and Irregular 3D Geometries (with David Voderholzer and Thomas O’Leary-Roseberry), preprint, arXiv:2610.37485. 2026. See here for the github repo.
- Rare subtree patterns in size-conditioned Bienaymé trees: Poisson approximation and declumping (with Igor Kortchemski), preprint, arXiv:2607.22291. 2026.
- Condensation in subcritical Cauchy Bienaymé trees. (with Igor Kortchemski) Electron. Commun. Probab. 30 1 - 13, 2025. See also here for how to sample plane (Bienaymé) trees in Python.
ORCID: https://orcid.org/0009-0002-9468-1152
Ausbildung
- Doktorand, KIT (2025 - jetzt)
- M.Sc. Angewandte Mathematik, ETH Zürich (2023 - 2025)
- B.Sc. Informatik, Mathematik und Physik, Humboldt-Universität zu Berlin (2019 - 2023)