teaching
Previous teaching and supervision.
Teaching assistant (Technical University of Munich)
- 2025: Mathematical Foundations of Machine Learning (with Suvrit Sra).
- 2025: Fundamentals of Optimization for Machine Learning (with Suvrit Sra).
Supervised projects and theses (chronological)
- 2025–2026: On Muon Algorithm — Master’s thesis, Jan Luca Schmelzer.
- 2025: Rockafellar’s Progressive Decoupling Algorithms: Examples in the Convex Case — Bachelor’s thesis, Ruiqi Li.
- 2025: Context Collapse: In-Context Learning and Model Collapse — Master’s thesis, Josef Ott.
- 2024–2025: Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models — PhD student, Sai Niranjan Ramachandran.
- 2024–2025: A projection-based framework for gradient-free and parallel learning — PhD student, Andreas Bergmeister.