The Operations Research team works on combinatorial optimization problems, with many applications to scheduling, network design but also lot-sizing, operations and supply chain management for example. We approach problems with algorithmic game theory, online and approximation algorithms, fixed parameter algorithms, self-stabilizing algorithms, search heuristics, blackbox complexity, mathematical programming, Markov decision processes and stochastic optimization. Our research both aims developing the theory and designing solutions for pure problems or real life applications.