George van Voorn

Dr. George van Voorn is an Associate Professor in Applied Modelling & Machine Learning at Wageningen University & Research, affiliated with the Biometris department. His research focuses on developing and applying mathematical and computational models to study socio-ecological systems, resilience, and complex adaptive systems. He specializes in agent-based modelling (ABM), hybrid machine learning approaches, and dynamical systems analysis (e.g., stochastic differential equations).

Van Voorn coordinates courses such as MAT15003 (Mathematics 3), SSB-30806 (Modelling in Systems Biology), and PhD-level modelling courses. He also leads projects on resilience quantification in socio-ecological systems, including agricultural and fisheries systems. His work addresses topics like tipping points, bifurcation analysis, and model validation methodologies for health-economic and environmental policy applications.

Key research areas include:

• Resilience metrics for socio-technical systems
• Climate change adaptation strategies using ABM
• Machine learning integration with crop and ecological models
• Model validation frameworks (e.g., AdViSHE tool)

He collaborates on interdisciplinary projects such as the 4TU DeSIRE initiative, focusing on systems resilience engineering. His recent publications emphasize model-based analysis of socio-environmental feedbacks, food system dynamics, and health-economic decision-making.