I am an associate professor in artificial intelligence and deep learning at the University of Liège, Belgium. Before that, I was a postdoctoral associate at New York University with the Physics Department and the Center for Data Science.
I do research at the intersection of machine learning, artificial intelligence and physical sciences, with close ties with the ATLAS experiment at CERN. My far ambition is to unlock discoveries of a new kind by making artificial intelligence a cornerstone of the modern scientific method. Using fundamental sciences, such as particle physics, as a test bed, my present research interests circle around how to use or design new machine learning algorithms to approach data-driven scientific problems in new and transformative ways. With this goal in mind, my current topics of research include:
- simulator-based likelihood-free inference
- deep generative models
- probabilistic programming
- developments towards the automation of sience