I am Assistant Professor in the Computational Science Lab of the University of Amsterdam and a Resident Fellow of the Institute for Advanced Studies. Furthermore I am a board member of the Dutch Chapter of NetSci; a board member of the Dutch Institute for Emergent Phenomena; and a member of the Netherlands Platform for Complex Systems.
I am fascinated by the emergence of complex systemic behavior which arises from the interactions in a system. Examples include human cognition arising from neurons and synapses; cellular regulatory processes arising from proteins and RNA; flocking patterns arising from birds and fish; and societies arising from individuals. There is currently no universal method to understand or predict such complex, emergent behaviors.
I am developing new methods based on information theory. I work on a wide variety of projects, including biomedicine, organized crime, , in the hope of transferring knowledge across domains as well as identifying universalities in their emergent properties. My team's activities include developing new theory; new software; and new data analyses.
My main thread is using information theory to better understand the behavior of complex dynamical systems.
I am part of CSL.
Computational science combines mathematical modeling and computer simulations to make predictions about real-world phenomena.
Workshops, conferences, special issues, committees, editorial boards.
The PhD's and Postdocs with whom I work.
I have become chair person of the Dutch chapter of the well-known international Network Science Society (NetSci).
With PI Marcel Olde Rikkert (Radboud UMC), this project has the ambition to innovate the way in which we will handle the ‘next Covid’. It will hire four postdocs for two years, starting early 2022.
I am a Research Fellow in the Institute of Advanced Studies in Amsterdam, where I contribute a complex systems perspective to multiple projects.
I am board member for the internationally renowned society for network science, NetSci.