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Wilson Jallet is a doctoral student at LAAS-CNRS, focusing on optimal control for legged robots as part of the Gepetto team, under the supervision of Nicolas Mansard and Justin Carpentier. Concurrently, Wilson is also a doctoral student at Inria, where research centers on optimal control for locomotive robotics, collaborating with the Gepetto team. Previous experience includes roles as a research engineer in robotics and reinforcement learning, and a research intern at the Willow team, working on deep reinforcement learning and computer vision. Wilson has also interned at BNP Paribas CIB in quantitative research, developed a machine learning model for movie performance at Accuracy, and served as a systems administrator at Binet Réseau. Education includes an engineering degree from École Polytechnique and a master's degree in MVA from ENS Paris-Saclay.