I am an assistant professor at the Psychological Methods Unit of the University of Amsterdam. My work combines psychometric theory with Bayesian inference and computational methods, focusing on Bayesian analysis of psychological data in general and graphical network models in particular. Under the umbrella of the Bayesian Graphical Modeling Lab, my team and I work extensively on developing the Bayesian approach to graphical network modeling of discrete psychometric data. This work allows researchers to express uncertainty in estimates of network parameters and structure, and to compute statistical evidence for the inclusion or exclusion of individual edges. These are practical advantages of the Bayesian approach to network analysis that enable researchers to report their results with confidence.
My research on Bayesian analysis of graphical models is located in the Bayesian Graphical Modeling Lab, and the related software is available on Github. I have also contributed to the development of the open-source statistical software JASP. This website collects my scientific publications.