Veronique Van Vlasselaer

About the Author

Veronique Van Vlasselaer is a distinguished data science expert and fraud detection specialist with over a decade of experience in leveraging advanced analytics to combat financial crimes. Holding advanced degrees in computer science and business analytics, she has worked with leading financial institutions and consulting firms to develop innovative strategies for identifying and preventing fraud. Her seminal work, Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Wiley and SAS Business Series), has become a cornerstone resource for professionals in the field, offering practical insights into data-driven methodologies that transform raw information into actionable intelligence. Passionate about bridging the gap between technology and real-world applications, Van Vlasselaer continues to educate and innovate through her writings, workshops, and advisory roles, empowering organizations to stay ahead in an era of evolving cyber threats.