I’m a PhD candidate at the music cognition group at the University of Amsterdam. My research interest is probably best described by the interdisciplinary field of cognitive science. Perhaps owing to the path, via artificial intelligence, that lead me here, I like to think of this field as a being in the business of reverse engineering, not unlike artificial intelligence. My current research mainly involves computational modelling. I employ predictive coding inspired models to examine how rhythm perception might be sculpted by a listener’s individual history of exposure to music.
Music is a very enjoyable domain in which to engage in cognitive science. Insights in rhythm perception pave the way for musical computers, opening up new possibilities for composition and performance.
My research is supervised by Henkjan Honing and Marcus Pearce. The music cognition group is part of the Institute for Logic Language and Computation. If you are looking for ways to reach me, have a peek at my contact page.