Christopher Serrano

Christopher Serrano is an AI researcher focused on sim2real applications for mission-critical autonomy. They currently serve as a Senior Staff AI/Machine Learning Engineer at Lockheed Martin and have extensive experience in end-to-end Deep Multi-Agent Reinforcement Learning (MARL) and Trusted Autonomy. Previously, Christopher held various roles at HRL Laboratories, including Post Masters Scientist, and contributed to academic instruction in reinforcement learning at the Georgia Institute of Technology. They earned a Bachelor's degree in Political Science and Government from UC Santa Barbara and a Master's degree in Computer Science from Georgia Institute of Technology.