He received his PhD from Yale University and completed a postdoctoral position at MIT where his work focused on enabling close-proximity human-robot collaboration, creating algorithms to enable robotic teammates to learn from and work productively with humans by anticipating their needs. Brad’s research centers around developing the algorithms and explainable Artificial Intelligence techniques necessary for creating supportive, interactive, communicative, and intuitive robotic systems that are capable of establishing shared expectations with people and safely performing complex collaborative tasks in human-populated environments.