Diego is currently a post-doctoral researcher at the Oxford Centre for Human Brain Activity (OHBA), where he has been working since 2012.
He is interested in the development and application of computational methodology for characterising and understanding the complex dynamics of activity in the brain, and for relating these to behaviour in a meaningful way. In particular, he aims to combine data from different sources (fMRI, MEG, EEG, anatomical data) using novel modelling techniques and state-of-the-art machine learning technology. His goal is to use this computational approach to eventually get new insights into disease mechanism, as well as exploring ageing and developmental processes.
Diego obtained its graduate degree in Computer Engineering in the Rey Juan Carlos University, in Madrid, obtaining the National Award in that year. After some years working on (non-academic) engineering, he obtained his PhD in the Polytechnic University of Madrid. His thesis explored the use of regularisation techniques in regression and supervised classification.
A list of his publications can be found here.