Kjartan van Driel has been a PhD candidate at the Complexity Science Hub since September 2023. Kjartan’s current work centers on developing machine learning methods for dynamic graph-structured data. He aims to develop methods that capture adaptation, cascades, and structural change within complex adaptive systems.

Within the Complexity Science Hub, he is part of the Supply Chain Science group, where he applies these methods to supply chain networks.
His research focuses on developing data-driven tools that reveal vulnerabilities, anticipate disruptions, and support strategic decision-making during the green transition.

Before joining the CSH, Kjartan received his bachelor’s degrees in physics and mathematics at Radboud University and subsequently earned his master’s degree in physics at the University of Amsterdam.

He completed his master’s thesis in collaboration with Viola Priesemann at the Max Planck Institute for Dynamics and Self-Organization, where he investigated how a network of spiking neurons can implement and adapt an approximate world model.