Bâtiment De Vinci
7000 Mons, Belgium
I am a PhD student in the Big Data and Machine Learning Lab at the University of Mons (UMONS), advised by Souhaib Ben Taieb. My research revolves around uncertainty quantification and probabilistic models in machine/deep learning.
Topics I am currently interested in include calibration, proper scoring rules, and conformal prediction in the context of regression problems, mostly on neural network models and tabular datasets. I am also interested in generative models such as normalizing flows, energy-based models and diffusion models.