Summary
Jaime Fisac is an Assistant Professor of Electrical and Computer Engineering at Princeton who directs the Safe Robotics Lab, developing theory and computational tools that fuse control theory with learned AI representations to certify safety in human-facing robotic systems. With a PhD from UC Berkeley and prior research experience at Waymo, he focuses on safe robot learning, robust multi-agent interaction, and human–AI safety—tackling rare “black swan” events and open-world uncertainty. He combines formal proofs and practical methods to make safety guarantees interpretable and actionable, and co-directs Princeton AI4ALL to broaden the field’s talent pipeline. Notably, his work asks whether the failure modes of generative AI and robotics can illuminate safety solutions for each other, a cross-domain perspective that underpins his research agenda.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Control, Intelligent Systems and Robotics, GPA 4.0, Doctor of Philosophy (PhD), Control, Intelligent Systems and Robotics, GPA 4.0 at University of California, Berkeley
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Universidad Politécnica de Madrid
Master of Science (MSc), Autonomous Vehicle Dynamics and Control, Master of Science (MSc), Autonomous Vehicle Dynamics and Control at Cranfield University
English, Spanish, French, Italian, Portuguese