I obtained a PhD in Computer Science from the Faculty of Computer Science at the University of Namur.

In my research, I proposed an abstract model for adaptive, self-guarded honeypots. This model serves as a foundation for building customizable honeypot systems that can be tailored to various use cases, communication protocols, and deployment modes.

My work specializes in cybersecurity, with a focus on intrusion detection systems. Specifically, I apply machine learning techniques -- such as reinforcement learning algorithms -- to develop adaptive honeypots capable of balancing multiple objectives.