I'm a network enthusiast, Ph.D. trained in analysis and visualization.
Understanding the world in its complexity is a fascination which questions the place of human beings in the whole system. We do so by capturing the reminiscences of our interactions with the world and yet we merely grasp its comprehension. Often in our attempts to observe the world, we look at these precise interactions, at the level of which, networks appear to be an excellent means of study. We can visualize them, manipulate them, and analyse them. They are abstract structures and yet easy to visually interpret, almost as if they were tangible objects. Graph theory provides us strong means of analysis of networks, and their visualization challenges us in exploring them.
I am fascinated by the explanatory power of such models, and my research aims at using the most adequate tools from theory to visualization to empower understanding of complex phenomena. I intend to confront my work with as many application domains possible, each enriching our research with a new set of questions and challenges pushing further our work.