I am interested in how machine learning (and artificial intelligence techniques) can help people to be creative, expressive and acquire skills, and how it can be used in this context to better understand human behaviour. My research is fundamentally interdisciplinary and includes many collaborations with students and colleagues. We use mixed methods from Cognitive Psychology, Human-Computer Interaction and Artificial Intelligence. We develop systems that can adapt to a user and that the user can adapt to her/his own needs and style in creative practices, our primary use cases being music and dance. We examine system usability, user experience, and appropriation phenomena. We use inductive approaches through observations and interviews in ecological contexts (for instance dance or music studios). We are also conducting hypothesis-driven controlled experiments in our lab to examine the impact of such interactive technology on motor skill acquisition.