I am an applied cognitive scientist and data scientist. I like developing computational models to better understand the mind, and exploring how we can use these models to address real-world problems.
I work on the scientific development of adaptive learning software at SlimStampen B.V., using theory, modelling, and data to improve learning and assessment for hundreds of thousands of learners. I'm also finishing my PhD at the University of Groningen, under the supervision of Hedderik van Rijn, Jelmer Borst, and Florian Sense. My PhD focuses on several building blocks for data-driven optimisation of adaptive fact learning systems.
My recent projects include predicting learners' performance on new materials to make learning more efficient (paper), assessing the benefits of adaptive learning during a pandemic (paper) as well as in normal times (paper), disentangling the cognitive factors that contribute to performance on memory retrieval tasks (paper), and modelling forgetting across timescales (preprint).
Get in touch
E-mail: [email protected]