Teaching

This page lists the courses I teach and my teaching materials.

ETH Zürich 2024 AI in the Sciences and Engineering Master’s course

Course webpage
YouTube lecture recordings
Code used in lectures
Tutorial exercises
Course catalogue page
Course Moodle page (ETH students only)

ETH Zürich 2024 Projects in Machine Learning Research Master’s course

Lecture recording
Course catalogue page
Course Moodle page (ETH students only)

ETH Zürich 2023 Deep Learning in Scientific Computing Master’s course

Course webpage
YouTube lecture recordings
Code used in lectures
Tutorial exercises
Course catalogue page
Course Moodle page (ETH students only)

ETH Zürich 2023 Projects in Machine Learning Research Master’s course

Course catalogue page
Lecture recording
Course Moodle page (ETH students only)

Guest Lectures / Other Lectures

• [2024] Introduction to JAX Workshop [Slides, recording and code].
  ETH Zürich.
• [2024] Introduction to physics-informed neural networks (mini-lecture) [Slides] [Code].
  Imperial College London.
• [2024] Scientific machine learning and physics-informed neural networks. 
  Department of Engineering and Management Doctoral School Seminar Series, University of Padova / Lucerne University.
• [2023] How to incorporate physical understanding into machine learning [Lecture recording].
  Physical Society of Zurich.
• [2023] Guest lecturer.
  GAMM Juniors Summer School on Scientific Machine Learning.
• [2022] Scientific machine learning: ways to incorporate scientific principles into machine learning [Slides].
  University of Oxford / University of Wyoming / Lucerne University / Roche.