Anne Auger: Inria research associate at the Tao Project. Her main research topics are stochastic optimisation mainly for continuous problems (numerical optimisation) and Monte Carlo Markov Chains.

Cyril Furtlehner: Inria research associate at the Tao Project. His main research interests concern discreet stochastic systems, particle exclusion processes and hydrodynamic limits, and statistical physics approaches to Optimization and Machine learning.

Jean-Marc Lasgouttes: Inria research associate at the Imara Project. His main research theme is probabilistic modelling of large systems and links with statistical physics.

Fabrice Marchal: CNRS research associate at the Lab of Transportation Economics (LET) in Lyon, France.

Victorin Martin: Inria Ph.D. Student at the Imara and Tao Projects, working on theoretical aspects of the belief propagation algorithm.

Fabien Moutarde: associate professor at the Robotics laboratory of MinesParis, where he conducts research on various applications of machine-learning algorithms, particularly in real-time vision, and also on cluster-mining with SOM.

Maxim Samsonov: Inria Post-doctoral fellow, with expertise in applied mathematics and statistical physics

Yufei Han: Armines Post-doctoral fellow, with expertise in Machine Learning and pattern recognition

Dimo Brockhoff: Inria Post-doctoral fellow, with expertise in stochastic optimization (bio-inspired evolutionary approaches) in particular multi-objective optimization

Oumar Baba Diakhaté: Inria master 2 intern, worked on theoretical aspects of the belief propagation algorithm.