In 2018, I was graduated in computer engineering (Msc) from ULiège. I spent my last year of study at Ecole
Polytechnique Fédérale de Lausanne (EPFL) as an exchange student. There, I
did my master's thesis in Jean-Yves Le Boudec's laboratory,
which was about the parameters estimation of electrical distribution networks' lines. Since 2018, I am a PhD student in machine learning at ULiège
(Belgium) under the supervision of Professor Gilles Louppe.
In summer 2021, I interned at Amazon Web Services where I worked on automated code analysis.
In my dreams, I want to boost the interaction between fundamental sciences and machine learning methods with the objective of making scientific discovery but also for building predictive models that can be deployed more reliably in the real world. When I wake up, I try to advance simulation-based inference by exploring new means for implementing more effectively inductive bias into deep generative models. My main research interests are in generative modeling, causal models and simulation-based inference.