Galen Mullins
Galen Mullins is a Senior Research Engineer at Microsoft Research Accelerator in Redmond, Washington, where he leads research on embodied AI and robotics. He holds a Ph.D. in Mechanical Engineering from the University of Maryland, a Master's in Applied Physics from Johns Hopkins University, and a B.S. in Mechanical Engineering from Carnegie Mellon University. Prior to Microsoft, he spent over 14 years at the Johns Hopkins Applied Physics Laboratory in robotics research roles and served as a Systems Engineer at Apple. He is best known for his work on automated and adaptive scenario generation for testing autonomous vehicles, and more recently on reinforcement learning for dexterous robotic manipulation.
“Galen Mullins is engineering lead. Oversaw the deployment and physical robot evaluations across the YAM Box, UR AI Trainer, and FR3 Duo platforms.”
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