About me
I’m a PhD candidate at the department of Cognitive Science and AI at Tilburg University with Bruno Nicenboim and Afra Alishahi as my supervisors. I am working on the development of computational models of reading and sentence processing. The project relies on methods and ideas from psycholinguistics, artificial intelligence, natural language processing, and Bayesian modeling.
Interests
Computational Psycholinguistics
- Utilizing computational methods and, in particular, language models (LMs) for modeling reading and sentence processing. I have used LM embeddings for modeling effects of semantic association in reading times and ERPs (N400) [[Paper]] [GitHub repo].
- I have collected and published the Tilburg corpus of Natural Dutch Texts (TiNT). The corpus consists of joint recordings of EEG and self-paced reading times from 71 participants reading natural Dutch texts. The corpus is available through [DataverseNL] [Paper].
Bayesian (Cognitive) Modeling
- 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. I have been a TA for the course Bayesian Computational Modelling at Aarhus University and Bayesian Multilevel Models at Tilburg University.
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.