Summary
Laurens Bogaardt is a statistician and modeller with nine years of interdisciplinary experience applying mathematical and computational methods to public health, research engineering, and industry. Based at RIVM, he translates complex systems, causal inference and network problems into actionable models, drawing on a background that spans theoretical physics, microeconomics and zoology from Cambridge, Imperial and Lund. His career blends academic research (University of Cambridge), consultancy (EY), and software engineering (bol.com), giving him a rare mix of rigorous theory and production-oriented implementation. He is particularly interested in game theory, surrogate modelling and Bayesian networks, and often works at the interface of optimisation and causal modelling to inform policy and decision-making. An understated strength is his ability to communicate technical results across departments and stakeholders, turning abstract models into practical insights.
9 years of coding experience
4 years of employment as a software developer
Master’s Degree, Theoretical Physics, Master’s Degree, Theoretical Physics at Imperial College London
Master’s Degree, Zoology, Master’s Degree, Zoology at University of Cambridge
Master’s Degree, Microeconomics, Master’s Degree, Microeconomics at Lund University
European Baccalaureate, European Baccalaureate at European School
Bachelor’s Degree, Physics & Economics, Bachelor’s Degree, Physics & Economics at University College Utrecht
Dutch, English, French, German