Gilles Louppe is an associate professor in artificial intelligence and deep learning at the University of Liège (Belgium). He was previously a postdoctoral associate at New York University with the Physics Department and the Center for Data Science, with close ties with the ATLAS experiment at CERN.

His research sits at the intersection of machine learning, artificial intelligence and physical sciences, with the far ambition of unlocking discoveries of a new kind by making artificial intelligence a cornerstone of the modern scientific method. His present research interests include the use and design of new machine learning algorithms to approach data-driven problems from fundamental sciences in new and transformative ways. Topics include:

  • simulator-based likelihood-free inference
  • deep generative models
  • probabilistic programming
  • developments towards the automation of science

Curriculum vitae.


  • Joeri Hermans (2017-Present)
  • Antoine Wehenkel (2018-Present)
  • Norman Marlier (2018-Present)