Guillaume completed an degree in electrical engineering from Institut National Polytechnique de Grenoble and a Masters in artificial intelligence from École de Technologie Supérieure in Montreal. He then decided to apply this experience to ecological modelling.
In 2013, he earned his Ph.D. from the Geography department of University of Montreal, working in the Complex System Laboratory. His project consisted of modelling the movements of caribou, moose, and wolves in managed Boreal forest. He used this individual-based model to study the impacts of logging activities on the emergent interactions between these three species.
On completing his Ph.D., Guillaume did a postdoctoral internship in the Hominid Dispersals Research Cluster at the University of Montreal during which he performed the downscaling of palaeoclimatic data from a global climate model. This was in partnership with the Laboratoire des Sciences du Climat et de l’Environnement in Paris.
His current research in the McGeoch Research Group focuses on using complexity-based approaches on the processes shaping plant communities. The results will be applied to the management of invaded communities.
Research Interests: Spatial modelling of populations and communities
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