Dr Bart Baesens MSc, DPhil

Lecturer in Management, Professor at KU Leuven (Belgium)

Professor Bart Baesens is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom).

The best way to boost the performance of any analytical model is by data engineering (feature engineering + instance engineering) instead of focussing too much on algorithmic details!

Professor Bart Baesens is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data & analytics, credit risk modeling, fraud detection, and marketing analytics. He co-authored more than 250 scientific papers and 10 books some of which have been translated into Chinese, Japanese, Korean, Russian and Kazakh, and sold more than 30,000 copies of these books world-wide.

Bart received the OR Society’s Goodeve medal for best JORS paper in 2016 and the EURO 2014 and EURO 2017 award for best EJOR paper. His research is summarized at the Data Mining Apps website . He also regularly tutors, advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy. Bart is listed in Stanford University's new Database of Top Scientists in the World.