Bio Wouter

Wouter Verbeke graduated cum laude as a Civil Engineer at the K.U.Leuven in February 2007. He worked as a scientific researcher at the traffic engineering department of the K.U.Leuven, conducting research on traffic simulation modeling, and as a risk analyst at KBC Bank and Insurance. Since December 2008 he is a doctoral student at the Faculty of Business and Economics at the K.U.Leuven, department of decision sciences. His research focuses on the development and application of data mining techniques in marketing and finance. The topics he has been studying include:

• Customer churn prediction
• Credit rating migration modeling
• Credit scoring for microfinance
• Software effort prediction
• Bayesian networks
• Fuzzy classification and pattern trees
• Including domain knowledge in rule induction techniques
• Social networks

He also assists master student projects in cooperation with companies, and tutors exercise sessions in basic programming. Finally, he has been coordinating several workshops, seminars, and an international scientific conference.

Publications Wouter