Axel Abels

Axel Abels is currently a post-doctoral researcher affiliated to the Université Libre de Bruxelles’ Machine Learning Group and the Vrije Universiteit Brussel’s AI Lab. He studied Computer Science at the Université Libre de Bruxelles where his master’s thesis extended the applicability of Deep Reinforcement Learning to Multi-Objective problems. His PhD research focused on Collective Decision-Making (CDM), and more specifically how machine/reinforcement learning can be applied to extract the wisdom of the crowd. His current research builds on his PhD, further exploring fairness in CDM as well as the benefits of human-AI hybrid crowds.