Veronique leads the AI & Data Science practice for Public Sector across EMEA at SAS and is a passionate advocate for turning data into real-world impact. She helps government organizations envision and prepare for an AI‑driven future, leverage AI & data science for smarter and more transparent decisioning, and unlock the true value hidden in their data.

Before joining SAS, Véronique earned her PhD in Business Economics at KU Leuven (Belgium), in the Department of Information Management and Decision Sciences under Prof. Bart Baesens. Her doctoral research focused on developing advanced data science frameworks for fraud detection, work that continues to shape her expertise today.

She is also co‑author of Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection, a widely recognized reference in the field.