A new 4-year project together with the inspectorate of the Dutch Ministry of Infrastructure and Water will focus on new data-driven methods for risk assessment, with the aim to for example better coordinate inspection efforts. As part of this project, PhD […]
During the yearly Netherlands eScience symposium in Amsterdam, I was awarded the 2017 Young eScientist award for my eScience-related research with amongst others the Dutch National Police, but primarily the research done within our CORPNET group at the University of […]
Our paper on a new data-driven network-based method to identify offshore financial centers is out in Scientific Reports. Using a dataset consisting of over 70 million ownership relations between firms across the world, we identify countries that are disproportionately involved […]
In 2011, I devised together with colleague Walter Kosters a new algorithm to efficiently compute the diameter (and radius, core and periphery) of small world networks. It has been available for reuse for a few years as part of the […]
I was pleasantly surprised to receive the “Teacher of the Year 2016” award from the Faculty of Science of Leiden University. I gratefully thank the students who nominated me, as well as those who have chosen to finally elect me […]
I work at Leiden University and the University of Amsterdam. I am an assistant professor at LIACS, the Leiden computer science department and researcher in the CORPNET computational social science group in Amsterdam.
My main fundamental research interest is computational network science, which deals with algorithms for knowledge discovery from network data. Through various projects, I also work on real-world applications, in particular on corporate networks, but also networks in economics, finance, science and infrastructure.