I am presently pursuing a Ph.D. at the International Max Planck Research School for Intelligent Systems (MPI-IS and Uni-Tuebingen). My primary research area revolves around routing problems, where I merge methodologies drawn from optimal transport and biologically inspired networks. My specific focus lies in unraveling the influence of various parameters on understanding the dynamics of traffic within multilayer networks. The practical applications of my research encompass tasks such as extracting optimal user trajectories from transportation networks and evaluating how optimal topological characteristics shift across diverse optimization scenarios.

I am passionate about developing cutting-edge methods to address real problems. My Ph.D. research focuses on developing theoretical and principled methods to solve traffic congestion. These methods have been extensively applied to real transportation networks, such as the bus and tram networks of the city of Bordeaux in France and the bus network of Grenoble, also in France. One intriguing fact about these methods is that they do not rely on the shortest path approach for passenger routing; instead, we focus on finding the ``convenient'' route for passengers.