My primary goal is tracking of brain changes during maturation, aging and disease progression at the level of single subjects using longitudinal data, computational morphometry, mixed-effects and multivariate modelling. I develop and apply these tools in context of large brain imaging samples with up to thousands of scans. A more recent focus of my work is the potential of ideas from machine learning to establish useful atrophy indices and enable prediction of (pathological) brain development.