I’m a Principal Research Scientist at Aampe working from Belgium. My research revolves around machine learning applications to a broad set of problems, focused on recommendation, experimentation and evaluation.

My work tries to synthesise theory and application, and I have been lucky to collaborate with various industrial research laboratories throughout my career, including ShareChat , Amazon, Spotify Research, Facebook, Criteo, Technicolor, and multiple University of Antwerp spin-offs.

My PhD dissertation was titled “Offline Approaches to Recommendation with Online Success”, defended under the supervision of Prof. Dr. Bart Goethals at the University of Antwerp. My research interests include machine learning, specifically applying ideas from causal and counterfactual inference to information retrieval and recommender systems.