Summary
Théo Verhelst is a research-focused AI postdoc specializing in causality, probabilistic machine learning, and the foundations of trustworthy AI, with 11 years of experience bridging academia and industry. Based in Brussels and currently at ESA’s Advanced Concepts Team, he applies causal ML to space applications after completing a PhD on machine learning and causal inference for customer churn with Orange Belgium. His earlier work includes transfer learning for credit card fraud detection, reflecting a practical bent toward high-impact, real-world problems. Trained at Université libre de Bruxelles and the University of Southampton, he combines strong mathematical instincts with a physicist’s curiosity and a love for CS, maths, and physics that informs both theory and applied research.
11 years of coding experience
5 years of employment as a software developer
Master's degree (Erasmus programme), Artificial Intelligence, Master's degree (Erasmus programme), Artificial Intelligence at University of Southampton
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Université libre de Bruxelles