I am a professor of Data analytics for Health and Connected care, at the IDLab research group of Ghent University. I am part of the PREDICT (http://predict.idlab.ugent.be/) and KnoWS (https://knows.idlab.ugent.be/) research teams. These teams perform research into hybrid AI (fusing semantic models and machine learning), explainable AI, expressive semantic reasoning and the incorporation of expert knowledge in data analytics. This research is mainly applied to the domains of predictive healthcare and industry 4.0 in order to realize context-aware and personalized decision support systems.

I work at the IDLab research group as a postdoctoral researcher. My main passion is fostering collaboration with societal and industrial partners in interdisciplinary projects to valorize our research toward truly impactful applications. This is realized through a number of (government sponsored) projects, for which I set up and lead the trajectory from proposal, into project management and valorization and dissemination afterwards. My main research and project focus is on the use of Semantic Web technologies, machine learning & IoT for the delivery of personalized & context-aware services, especially within the eHealth domain. I am also particularly interested in methodologies for capturing domain knowledge from experts & using this knowledge to optimize intelligent agents and the way we interact with them.