Manuel Claeys Bouuaert worked at the CartoGIS research group from late 2012 to early 2016. He has been part of an FWO project entitled 'Analysing and modelling pedestrian movements at mass events using Bluetooth', and later performed research on 'Predictive modeling of spatiotemporal phenomena in GISystems using Machine Learning' as an FWO-fellow. This research focussed on the potential of Machine Learning tools like Markov Random Fields. Additionally, Manuel has contributed to the ongoing research concerning the 18th century Ferraris maps of the Austrian Netherlands. He developed a novel method to analyse distortion in historic maps, based on a set of ground control points.