Hans Tierens is a Data Intelligence Engineer with 8 years of experience applying statistical rigor and machine learning to real-world problems, currently driving data initiatives at TÜV AUSTRIA Belgium. He progressed from academic research—earning a PhD at KU Leuven focused on improving statistical tools for event modeling—to industry roles leading AI teams and R&D at dataroots. Hans blends deep quantitative expertise with hands-on ML engineering and team leadership, delivering production-ready solutions that bridge research and business impact. His academic background and business degrees (Magna Cum Laude) give him a rare combination of methodological depth and commercial awareness. Colleagues know him for turning complex statistical concepts into practical pipelines and for mentoring engineers moving from prototypes to scalable deployments. Based in Antwerp, he brings a thoughtful, research-informed approach to industrial data challenges.
8 years of coding experience
9 years of employment as a software developer
(Advanced) Master of Advanced Business Studies, Research Methodology and Quantitative Methods, High Distinction (Magna Cum Laude), (Advanced) Master of Advanced Business Studies, Research Methodology and Quantitative Methods, High Distinction (Magna Cum Laude) at Katholieke Universiteit Leuven
Master of Science in Business Studies, Marketing Management, Distinction (Cum Laude), Master of Science in Business Studies, Marketing Management, Distinction (Cum Laude) at Lessius Hogeschool Antwerpen
Contributions:10 commits, 8 pushes, 1 branch in 2 days
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