Summary
Laurens D'hooge is a postdoctoral researcher at Ghent University and IDLab specializing in the intersection of cyber security and AI, with nine years of research experience focused on making machine-learned intrusion detection systems practical outside academia. He combines a strong software engineering background (Master’s in Computer Software Engineering) with hands-on experimentation in adversarial and applied security research. Currently leading efforts to bridge academic prototypes and real-world deployments, he emphasizes robustness, threat realism, and operational feasibility. Based in Ghent, he brings a measured blend of theoretical rigor from his PhD candidacy and pragmatic engineering drive, often exploring how attack-aware models behave under real network conditions. Notably, his work targets the often-overlooked integration challenges—data pipelines, false-positive management, and deployment constraints—that prevent ML security tools from scaling in production.
9 years of coding experience
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Ghent University