How does the mind process information? What is intelligence? How do we form memories? These are questions that I have always found intriguing and that motivated me to study psychology and cognitive science. Through my PhD work, I also grew a profound curiosity for machine learning and artificial intelligence. I'm convinced that the cross-fertilization between the fields of cognitive science and computer science lead to deeper insights in both fields.

In November 2020, I joined prof. Thomas Serre's lab at Brown University as a Postdoctoral Research Associate. My work there focuses on artificial models of vision and how to make them perceive the world more intelligently, drawing on principles of human visual cognition.

My PhD work was funded by the Research Foundation Flanders (FWO) and largely carried out at the GestaltReVision Lab at KU Leuven, Belgium, advised by prof. Johan Wagemans. In addition, I spent 8 months at CSAIL, MIT conducting research as a visiting student, advised by prof. Phillip Isola and prof. Aude Oliva. In my PhD project, I aimed to contribute to the understanding of what makes an image memorable by focusing on the more intermediate levels of the visual hierarchy, as opposed to, for example, more high-level semantic content (i.e., the "how" of depicting, rather than the "what").