Teaching

I am/have been a teaching assistant or student tutor for the following courses.

• Seminar on Theoretical Advances in Deep Learning (WS 2022/23, WS 2023/24, WS 2024/25)
• Statistical Foundations of Learning (SS 2022)
• Practical Course - Analysis of new phenomena in machine/deep learning (SS 2022, SS 2023, SS 2024)
• Gems of Informatics 3: Modelling and analysis of real-world graphs (WS 2021/22, WS 2022/23)
• Efficient Algorithms & Data Structures (WS 2020/21)

Talks

• 18.07.2024: Provable robustness of (graph) neural networks against data poisoning and backdoor attacks at MDSI Focus Topic Interconnect seminar
• 28.11.2023: AI4BuildingESG Breaking into the Black Box of ESG in the Building Sector: A Machine Learning Approach at Georg Nemetschek Institute General Assembly
• 02.05.2023: Understanding Graph Neural Networks through Neural Tangent Kernel at Grad seminar, New York University
• 02.03.2023: Understanding Graph Neural Networks through Neural Tangent Kernel at 2nd ASCAI Workshop (Active and batch Segmentation, Clustering, and seriation: toward unified foundations in AI), held at TU Munich
• 11.04.2022: Unsupervised and Semi-Supervised Learning on Graphs at Ruhr-Universität Bochum
• 14.02.2022: New Insights into Graph Convolutional Networks using Neural Tangent Kernels at Oberseminar dynamics, Department of Mathematics, TU Munich