Hugo Gimbert

Hugo Gimbert is a CNRS Researcher at LaBRI (Laboratoire Bordelais de Recherche en Informatique), affiliated with the University of Bordeaux, where he serves as a PhD advisor and contributes to the Formal Methods research team. His work bridges theoretical computer science with practical applications in diverse domains.

His research spans Algorithmic Game Theory, Stochastic Games, Distributed Systems, and Robotics, with current focus on stochastic games with partial observation, decidability of distributed games, and applications in precision agriculture. He explores intersections with social choice theory, probabilistic logics, and humanoid robot control using Markov Decision Processes.

Publications from 2010-2017 reveal consistent contributions to game theory foundations (stochastic/mean-payoff/parity games), automata theory (decidability problems, stabilization monoids), and applied robotics (vineyard trellising systems). His work demonstrates a trajectory from pure theoretical results toward real-world implementations in agriculture and education systems.

Gimbert actively mentors PhD candidates including Soumyajit Paul, Simon Mauras, and Edon Kelmendi. He leads critical national projects: serving as Chargé de mission for Parcoursup (France's centralized college admission platform) since 2018, developing its core algorithms with Claire Mathieu to handle quotas, housing constraints, and transparency requirements. He also co-founded the Rhoban System spin-off applying robotic control algorithms to precision agriculture.

As a core member of the Rhoban robotics project, he develops real-time image processing systems for robot soccer competitions. His software contributions include Stamina (automata theory toolkit), Marmotte (CNRS committee management system), and BipBip (ROS-based weeding robot for vineyards), demonstrating commitment to translating research into tangible societal impact.