My research activities focused initially on the analysis of the topological properties of directed complex networks, and the utilization of such properties for classification in Machine Learning and Graph Mining. Regarding Machine Learning, I have a strong interest in the applications of Artificial Neural Networks and the recent developments of Deep Learning technologies. I am currently enthusiastic about the promising field of Graph Deep Learning (GDL) which has shown great potential for learning and analyzing graph data. More generally, my research aims at modeling complex interconnected systems which can be represented as graphs such as social graphs or protein interaction networks. Potential applications include modeling the spread of an epidemic within a community or repurposing existing drugs for new uses.
Contact Jimmy at jimmy +dot+ dubuisson at-sign ronininstitute [dot] org