Currently, I am a Scientific Researcher, working half part time with Isabelle Thomas at CORE (Center for Operations Research and Econometrics) and half part time with Jean-Charles Delvenne at ICTEAM (Institute of Information and Communication Technologies, Electronics and Applied Mathematics) both in the Université Catholique de Louvain, and I am also Collaborateur Scientifique at CeReFiM in the Université de Namur. Currently, we are dealing with geo-localized data, the effect of aggregation over community detection, visualization and multi-dimensional systems.
My main interest in research is the application of statistical and Critical Phenomena approaches to emergent social phenomena. The possibility of finding universal patterns, i.e, same qualitative behavior in different kind of phenomena. The similarity comes from the fact that collective emerging phenomena do not depend on the microscopic details of the process. The determinant properties are instead the symmetries, dimensionality, and conserved quantities. The theory implied on this methodology is the foundation for the field of Critical Phenomena, which has proved to be fruitful in allowing for the understanding of several patterns of universality.
My initial research activities were focused on agent based models. Making the analogy with social systems, is how I could see the emergent phenomena as a consequence of well-thought local rules among the interacting particles, which in the case of social phenomena are interacting human beings. Then, I started with data science, as the only way for seeking what kind of patterns regarding human behavior is expressed by the data.
“Criticality is a consequence of interactions, and the human being is the responsible for the most complex interaction displayed by the nature”. YG.