About me
I’m a PhD candidate at the department of Cognitive Science and AI at Tilburg University with Bruno Nicenboim as my supervisor. I am working on the development of computational models of reading and sentence processing. The project will rely on methods and ideas from psycholinguistics, artificial intelligence, natural language processing, and Bayesian modeling.
Interests
Bayesian (Cognitive) Modelling
- Bayesian modeling of complex behavior using Stan or brms. For my Master’s thesis in Cognitive Science, I did a project on computational models of interpersonal categorization using a Bayesian workflow [GitHub repo].
- Data analysis using Bayesian modeling techniques. As instructor for the course Bayesian Computational Modelling, I taught Bayesian data analysis based on Richard McElreath’s book Statistical Rethinking.
Natural Language Processing
- Projects using methods from Natural Language Processing to detect signals in large text corpora. The emoDynamics project aimed to detect dynamics in emotion expresion in tweets [paper] [GitHub repo]. Additionally, I have worked on developing tools for automatic discovery of emerging (conspirational) narratives.
Meta Science
- How the use of informed priors in Bayesian data analysis can facilitate cumulative science. This project started as my Bachelor’s thesis in Cognitive Science that a wrote in collaboration with Frida Hæstrup. It is now an ongoing project joined by Riccardo Fusaroli [GitHub repo].
- During my internship with the Computational Cognitive Science research group at Radboud University, I worked on a project on multiple realizability in relation to scientific inferences made from reverse inference in neuroscience together with Olivia Guest and Iris van Rooij.