Summary
Sander Van Der Hoog is an independent business owner and computational economist with over a decade of experience building large-scale agent-based models and high-performance simulations, notably co-authoring the widely-cited Eurace@Unibi macroeconomic model used by central banks and insurers. He combines academic rigor—formerly as a junior professor and postdoc—with entrepreneurial practice as founder of SimScience and Head of Simulation at Lucidminds AI, applying digital-twin simulations to policy and regulatory scenarios. His work spans sustainable finance, macroprudential regulation, empirical validation of agent-based models, and the integration of deep learning into simulation frameworks. Sander’s research emphasizes grounding computational models in empirical microfoundations and quality-controlled data, reflecting a rare blend of economic theory, historical perspective, and practical software-driven experimentation. Based in Bielefeld, Germany, he is open to consulting and collaborative scientific exchange, bringing both teaching and peer-review experience to applied modelling projects.
9 years of coding experience
Winter School BigDat 2016
Master of Science (MSc), Mathematical Economics, Master of Science (MSc), Mathematical Economics at Universiteit van Amsterdam
Dutch, English, German, French