Jaime Fernández Fisac

Jaime Fernández Fisac is an Assistant Professor of Electrical and Computer Engineering at Princeton University, directing the Safe Robotics Laboratory and co-directing Princeton AI4ALL. His research focuses on ensuring safety in robotics and AI through control theory, AI, and game theory, addressing challenges like safe robot learning, human-robot interaction, and generative AI safety. He holds degrees from Universidad Politécnica de Madrid, Cranfield University, and UC Berkeley. He previously worked at Waymo and co-founded Vault Robotics.

Education:

• Ph.D. in Electrical Engineering and Computer Sciences, UC Berkeley
• Master’s in Aeronautics, Cranfield University
• Engineering Degree, Universidad Politécnica de Madrid

Research Interests:

• Safe Robotics Learning and Interaction
• Human-AI Safety in Open-Ended Settings
• Game-Theoretic Approaches to Safety Assurance
• Robust Control for Autonomous Systems

His work bridges theoretical proofs and practical methods for safety, emphasizing trustworthiness in AI and robotics. Recent publications explore safety filters, adversarial imagination, and introspective planning.

Awards:

• NSF CAREER Award (2024)
• Google Research Scholar Award (2022)
• Sony Focussed Research Award (2023)
• Leon O. Chua Award (2019)

Teaching & Advising:

• Teaches courses on Safety-Critical Robotics, Intelligent Robotic Systems, and Robotics Lab
• Advises students in PhD and Master’s programs focusing on robotics and AI safety
• Labs and initiatives include Safe Robotics Lab and Princeton AI4ALL

Key Projects:

• Safe autonomy for autonomous vehicles and delivery robots
• Generative AI safety frameworks
• Safety-critical robotics in dynamic environments