Working from the CERN laboratory, I am currently a Postdoctoral Associate at New York University with the Physics Department and the Center for Data Science. I do research in machine learning in close collaboration with Kyle Cranmer and the ATLAS experiment. Before that, I was a Doctoral Student at the University of Liège in Belgium.
As a researcher, my far ambition is to unlock discoveries of a new kind by making machine learning and artificial intelligence a cornerstone of the modern scientific method. Using 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 topics of research include methods for simulator-based likelihood-free inference, algorithms to handle systematic uncertainties in inference models, and developments towards the automatization of sience.