Jef Jonkers

I am Jef Jonkers, a PhD researcher at Ghent University. My research focuses on machine learning, statistical learning theory, and causal inference. Specifically, I am interested in developing algorithms that can learn from data in a way that is robust to distributional shifts and allows to quantify uncertainty in predictions. I am also interested in the theoretical foundations of machine learning and how they can be used to improve the performance of learning algorithms or be adapted to new settings.