I am an assistant professor of methods and statistics within the Department of Child Development and Education at the University of Amsterdam. My areas of expertise areas of expertise span structural equation modeling (SEM), multilevel modeling (MLM), social-relations modeling (SRM), and their intersections (i.e., ML-SEM and the SR-SEM), as well as nonparametric methods, Bayesian inference, and modern missing data methods. My methodological research interests involve statistical programming for psychometric methods.
My current research is funded by the NWO's Veni and Open Competition (XS) grants, the goal of which is to integrate the social relations model (SRM) with SEM. I am using Bayesian methods to model "round-robin" (or "social network") data from the perspective of generalized latent-variable modeling, enabling many advantages of SEM to be applied to models for network data:
My Veni project will involve developing a new R package for the integrated SR-SEM using a lavaan interface. I am also a coauthor of the R package lavaan and develop key software in the "lavaan ecosystem" (e.g., as primary developer of the R package semTools, maintainer of the R package simsem, and contributor to the R package blavaan), all of which are devoted to SEM in R.
For the Research Master I teach 2 courses: Methods and Statistics in Education Research and Structural equation modelling in educational research
For the Youth at Risk Master, I teach 1 course: Masterclass in Methods and Statistics