I am an assistant professor in the Human Data Science group at the Methodology and Statistics department of Utrecht University. I am the team lead of the ODISSEI Social Data Science team working on several projects in the domain of computational social science. In this context am particularly interested in taking into account (or "propagating") uncertainty in data analysis pipelines.

My work covers a broad range of topics in statistics and computation. I have worked on structural equation modeling, regularization & penalization, Bayesian statistics, multilevel generalized linear models, geospatial data analysis, visualisation, optimization, federated learning, privacy, fairness, measurement, synthetic data, causal inference, and more.

During my PhD I investigated how to extend structural equation models for modern data problems. As part of my PhD, I visited the lab of Rogier Kievit in Cambridge. I was also a part-time software developer at JASP.

If you want to get in contact, you can use my e-mail address: or send me a message on fosstodon.

Here are some links to statistics & programming-related things I enjoy: Explained Visually, distill journal, grug brained developer, INFOMDA2 course materials, Andrew Gelman, Stan, JASP, UU M&S department compute server, Social Data Science team.