Summary
Huub Hoofs is a Data Scientist with 11 years of professional experience and over 8 years focused specifically on applied data science and machine learning. He has built societally impactful AI solutions in forensic contexts at the Nederlands Forensisch Instituut and now applies data science to defense challenges at Koninklijke Luchtmacht. Trained as a researcher with a PhD background in epidemiology from Maastricht University, he combines rigorous statistical thinking with practical model development and code quality practices. His work history spans academia and government, giving him deep experience in sensitive, regulated data and translating research questions into production-ready analytics. Colleagues know him for bridging domain expertise in youth health and criminology with reproducible, well-documented analytic workflows. Based in Breda, he brings a measured, research-driven approach to solving real-world problems where interpretability and robustness matter.
11 years of coding experience
7 years of employment as a software developer
Research Doctorate, Epidemiology, Research Doctorate, Epidemiology at Maastricht University
Master of Science (MSc), Development and Socialisation in Childhood and Adolescence, Master of Science (MSc), Development and Socialisation in Childhood and Adolescence at Utrecht University
VWO, NT & NG, VWO, NT & NG at Mollerlyceum
Dutch, English