My research focuses on artificial intelligence applied to health, with a strong multidisciplinary approach combining machine learning, data mining, and biomedical sciences.

I am particularly interested in modeling interindividual variability in complex biological and medical systems, by developing interpretable and explainable AI approaches. My work primarily focuses on extracting actionable insights from structured biomedical data.

A key aspect of my research is the design of user-centered AI models that provide meaningful explanations adapted to different stakeholders, such as researchers, clinicians, and decision-makers. Through close collaboration with domain experts, my goal is to contribute to AI solutions that are not only performant, but also trustworthy, transparent, and ready for real-world health and life science applications.