Summary
Paul Templier is a research-focused machine learning engineer with eight years’ experience, currently a Research Associate in Adaptive and Intelligent Robotics at Imperial College London after completing a PhD in evolutionary neural policy search at ISAE-SUPAERO. He specializes in neuroevolution, reinforcement learning and bio-inspired approaches to optimize both architectures and weights, with practical experience benchmarking algorithms on games like DOTA2 and Atari. Comfortable bridging research and operations, he has run lab compute infrastructure and taught courses while visiting the Adaptive & Intelligent Robotics Lab. His background spans aerospace engineering, operations research and applied cybersecurity, reflecting a multidisciplinary approach to AI for robotics. Colleagues know him for over-engineered but highly reliable Python tooling and a habit of turning messy research code into reproducible experiments.
7 years of coding experience
CPGE PTSI/PT* Mechanical engineering physics mathematics , CPGE PTSI/PT* Mechanical engineering physics mathematics at Lycée Jean-Baptiste Say
Master of Science Operations Research, Master of Science Operations Research at Université Paul Sabatier Toulouse III
Artificial Intelligence Autumn Institute Artificial Intelligence, Artificial Intelligence Autumn Institute Artificial Intelligence at CNRS
Master of Science Aerospace Engineering, Master of Science Aerospace Engineering at ISAE-SUPAERO
English, Spanish, French