Teaching

Courses

PhD courses

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).

Hands-on introduction to deep learning for biomedical data

Upcoming UNIL Faculty of Biology and Medicine doctoral school inverted classroom course. Reach out if you’d like to beta-test the new notebooks when they are ready.

Bachelor courses

Introduction to image analysis

Part of the University of Lausanne Bachelor in Biology, Modelling in Biology and Bioinformatics module. Course Github repo with all Python notebooks.

Vocational Training

AI for radiologists

Introductory class on AI for radiologists, currently restricted to CHUV. Taught jointly with senior radiologist Prof. Patrick Omoumi.

Master Student Projects

We always have interesting Master research projects (MSc / MMed) 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).