Erik-Jan van Kesteren
PhD Candidate in Statistics

I am a PhD student with Daniel Oberski at the Methodology and Statistics department of Utrecht University. My research is on how we can incorporate high-dimensional data into structural equation models. As part of my PhD, I visited the lab of Rogier Kievit in Cambridge, researching exploratory factor analysis for whole-brain structural images.

I'm also a part-time programmer at JASP, where I currently develop easy-to-use interfaces for the wide array of latent variable models available within structural equation modeling.

If you want to get in contact, you can use my e-mail address: .

Here are some links to statistics-related things I enjoy: UU DAV course materials, Young Statisticians Netherlands, Explained Visually, distill journal, Brilliantly Wrong, The Etz-Files, Andrew Gelman, r/dataisbeautiful, Jeff Rouder, A Compendium of Clean Graphs, Stan, JASP, MSDSlab.