Research Interest
- Random Graph Theory
- Mechanistic interpretability of AI
- heavy-tailed distributions
- Machine learning
Publications
Google Scholar: https://scholar.google.com/citations?user=-aX6ZIEAAAAJ&hl=de&oi=sra
ORCID: https://orcid.org/0009-0002-9468-1152
Education
- Ph.D. Student, KIT (2025 - now)
- M.Sc. Applied Mathematics, ETH Zürich (2023 - 2025)
- B.Sc. Computer Science, Mathematics & Physics, Humboldt‑Universität zu Berlin (2019 - 2023)
B.Eng. Mechanical Engineering, DHBW Heidenheim (2016 - 2019)
Professional
- Teaching assistant, ETHZ (2024)
- Working student for machine learning, Fraunhofer-Institut IPA (2021-2022)
- Lecturer for pre-courses, DHBW Heidenheim (2020-2023)
- Cooperative student, Carl Zeiss AG (2016-2019)