Galen Mullins
Senior Research Engineer
À propos
Galen Mullins is a senior research engineer with deep expertise in robotics, autonomous systems, and AI-driven testing. He has held key roles at Johns Hopkins Applied Physics Laboratory (JHUAPL), Apple’s Special Projects Group, and Microsoft Research, where he currently focuses on embodied AI and long-horizon planning for intelligent agents. At JHUAPL, he led the development of the Range Adversarial Planning Tool (RAPT), a groundbreaking framework for stress-testing autonomous vehicles, and contributed to high-impact programs like DARPA’s Air Combat Evolution (ACE).
Galen earned his Ph.D. in Mechanical Engineering from the University of Maryland, where his research centered on adversarial scenario generation and adaptive sampling for autonomy verification. His work has resulted in multiple peer-reviewed publications and patents, including methods for identifying performance boundaries in complex autonomous systems. He has collaborated with the U.S. Army Research Lab on robotic self-righting and served on the IEEE P2817 Standards Committee for autonomous systems verification.
In addition to his research, Galen is passionate about education and mentorship. He created and teaches the graduate-level Introduction to Robotics (EN.605.613) course at Johns Hopkins University’s Engineering for Professionals program, where he brings real-world experience into the classroom.