Teaching

Courses

PhD level

Hands-on introduction to machine learning for biomedical data

UNIL Faculty of Biology and Medicine doctoral school inverted classroom course. Also open to Lemanic Neuroscience Doctoral School students, depending on session (check with your doctoral school coordinator). Gitlab with all notebooks (Python). Course details and registration. Double-dipping demo (Matlab). The next session is April 2024.

Hands-on introduction to deep learning for biomedical data

Upcoming UNIL Faculty of Biology and Medicine doctoral school inverted classroom course. The first session will be in the autumn semester, 2024. Reach out if you’d like to beta-test the new notebooks when they are ready.

Bachelor level

Introduction to image analysis

New course for May 2024. Teaching part of the course with Sven Bergmann, Arianna Ravera, Nicolas Salamin (responsible).

Vocational Training

AI for radiologists

Upcoming introductory class on AI for radiologists, currently restricted to CHUV. Taught jointly with senior radiologist Prof. Patrick Omoumi. The first session will be in December 2023

Master Student Projects

We always have interesting Master research projects on machine learning, statistics, and deep learning. These are easy to arrange if you are at EPFL or UNIL, and we’ll find a way if you’re not – please reach out.

Workshops & summer schools

Summer School on Graphical models for the characterisation of information flow in complex networks

INPG/INRIA/CNRS GMINeuro summer school – educational code for baseline brain graph classification (Matlab).