Courses

I was involved in teaching the following courses:

• ETH 2026: Large Language Models
• ETH 2025: Deep learning
• ETH 2025: Interactive Machine Learning Visualization and Explainability
• ETH 2025: Large Language Models
• ETH 2024: Large Language Models
• ETH 2023: Large Language Models
• UdS 2021: Neural Networks Implementation and Applications
• UdS 2021: Statistical Natural Language Processing

Students

I had the privilige to work with and supervise the following:

• ETH 2026; Rosamund Ang; Sample-Efficient Aligning of Automatic Metrics
• ETH 2026; Šimon Sukup, William Kalikman, Michal Tešnar; Augmenting Texts to Increase Difficulty
• ETH 2026; Victor Zarzu; Speech Translation Quality Estimation
• ETH 2025; Chenfei Xiong; Collaborative Discovery of Edge Cases in Text Classification
• ETH 2025; Oymak Gül, Hatipoglu Öykü, Garries Urbina Oscar, Victor Zarzu; Interactive Visualization of Chain-of-Thought Reasoning in Large Language Models
• UZH 2025; Yijie Tong, Haokun He; Quality Estimation and Machine Translation in One Model
• ETH 2025; Vincent Dörig; AI-Enhanced Textbook Reading
• UZH 2024; Abhinav Kumar; Data Augmentation for Text Complexity Prediction
• ETH 2024; David Gu; Manifestation of Image Complexity

I am always looking for motivated students to work with!