About

My background lies in the field of theoretical physics. In particular, I obtained my Ph.D. in fundamental research on string theory and black holes. Afterward, I decided to pursue research problems with a more immediate application. In that spirit, I did an internship in neurodiagnostics at AMC, where I sought to classify subtypes of Alzheimer's in pathology slides using artificial intelligence methods.

At the NKI I am continuing my interests in deep learning and medical imaging, investigating methodological aspects and applications of, for example, self-supervised learning and geometrical deep learning.