Axel-Jan Rousseau
Dr. Axel-Jan Rousseau is an AI Expert for VAIA and a Postdoctoral Researcher at Hasselt University. Specializing in trustworthy computer vision, his work focuses on model calibration, ensuring AI systems provide reliable, statistically sound predictions.
He is also one of the coordinators for the Data Science track for FLAMES and develops AI-driven decision support systems for biomedical imaging and MS diagnosis. He holds a PhD in AI (2024) and Master's degrees in both AI and Industrial Engineering.
Organisation
Courses
Introduction to Supervised learning with Python
Introduction to AI and Machine Learning for Biomedical Research
training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA
Introduction to Supervised Learning with Python
two-day course - online - FLAMES
Introduction to AI and Machine Learning for Biomedical Research
training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA
Blog posts
MLOps: using machine learning efficiently
Do you understand how AI works? Then now is the time to learn how to implement AI models efficiently, in day-to-day practice: self-learning, self-directed, yet controlled. You can achieve this thanks to MLOps: a bundle of good practices that allows you to automate and optimise the entire AI process. Axel-Jan Rousseau (UHasselt, VAIA) explains how this works.