Gabriel Ziegler is heading the modelling and neuroprognosis group at the Institute of Cognitive Neurology and Dementia Research (IKND). His work focusses on state-of-the art statistical approaches such as latent variable modelling of brain-behavioral relationships, longitudinal brain changes, and disease progression in ageing and dementia research using MRI. 

He has made innovative contributions in developmental cognitive neuroscience using multivariate, kernel methods, Gaussian Processes, dynamical systems and Bayesian inference. His working group implements MR-based predictive models for memory performance and develops multivariate functional and structural indices of brain maintenance. He is part of the in-vivo histology (hMRI) working group that establishes new analysis techniques for quantitative multi-modal MRI.