Jonathan Booher

Jonathan Booher is a highly experienced machine learning professional specializing in reinforcement learning and related methods. Currently serving as a Staff Machine Learning Research Scientist at Nuro, Jonathan leads the development of advanced techniques for ego planning and agent behavior modeling, employing approaches such as world modeling and safe RL. Prior roles at Nuro include Senior Machine Learning Research Scientist, where Jonathan focused on Safe RL policies and team leadership, and Machine Learning Engineer, concentrating on scalable training infrastructures. Jonathan's experience also includes a Student Researcher position at Stanford Vision and Learning Lab, Technical Staff at Giant.AI, and internships at Google and Stanford University School of Medicine. Jonathan holds a Master's degree and a Bachelor of Science, both in Computer Science, from Stanford University.