Wilson Jallet

Wilson Jallet has extensive experience in robotics and quantitative research spanning several roles. Currently, Wilson serves as a Postdoctoral Researcher at Inria, focusing on optimal control for locomotive robotics, and is pursuing a Doctorate at LAAS-CNRS on optimal control for legged robots. Previous roles include research engineer, where Wilson worked on robotics, control, and reinforcement learning, and a research intern involved in deep reinforcement learning and computer vision projects. Wilson briefly interned at BNP Paribas CIB, specializing in quantitative research related to credit derivatives, and served as a systems administrator at Binet Réseau. Early career experiences include an internship in advanced analytics at Accuracy and a teaching assistant position at Lycée Julie-Victoire Daubié. Educational background includes an Engineering Degree from École Polytechnique and a Master's in Mathematics, Vision, and Learning from ENS Paris-Saclay.