Teaching
Teaching Assistant Positions
Physics 2 for Electrical Engineering (2026) — ETH Zurich
Physics 2 for Material Science (2025) — ETH Zurich
Quantum Information Processing 2 (2024) — ETH Zurich
Statistical Methods of Data Analysis (2020–2022) — University of Vienna
I designed and taught the exercise classes on descriptive and inferential (likelihoods, Bayes, …) statistics for physics graduate students.
Electrodynamics I (2018–2019) — TU Vienna
I supervised one of the exercise classes on electrodynamics and special relativity for physics undergraduate students.
Lectures and Seminars
- CERN Quantum Technologies Lecture Series, 2023: Superconducting thermometers for the direct detection of dark matter.
- Inverted CERN School of Computing, 2023: Introduction to Reinforcement Learning.
- Summer school on artificial intelligence of the Austrian Academy of Sciences, 2021: Introduction to deep learning in PyTorch.
Supervised Theses and Projects
- Emre Vardar (ETH, master thesis, 2026)
- Lan Zhang (ETH, semester thesis, 2025)
- Peter Mukovskiy (ETH, semester thesis, 2025)
- Mattéo Maury (ETH, semester thesis, 2025)
- Susan Filisetti (ETH, internship, 2025)
- Tilly Schaaf (ETH, semester thesis, 2025)
- Romeck Kloezen (ETH, semester thesis, 2024)
- David Tartarotti (HEPHY, bachelor thesis, 2023)
- Kolos Niedermayer (HEPHY, bachelor thesis, 2023)
- Damir Rizvanovic (master and project thesis, 2022)
- Moriz Lackner (master thesis, 2022)
- Fatih Okcu (HEPHY, project thesis, 2023)
- Matthias Eiselt (HEPHY, project thesis, 2021)
- Matthias Kettner (HEPHY, project thesis, 2021)
- Pascal Schanner (HEPHY, bachelor thesis, 2021)