Eric Eaton, PhD is a Research Associate Professor in the Department of Computer and Information Science at the University of Pennsylvania, with an additional appointment in the Department of Biomedical and Health Informatics at Children’s Hospital of Philadelphia. He is also a faculty member of the General Robotics, Automation, Sensing and Perception (GRASP) lab at Penn, where he directs the lifelong machine learning research group, and a technical advisor for Penn Health-Tech. He holds BS, MS, and PhD degrees in computer science from the University of Maryland, Baltimore County. Before moving into academia, he was a senior research scientist at Lockheed Martin Advanced Technology Laboratories, where he led a variety of applied machine learning projects with a focus on applications for DoD customers.
His primary interests lie in the fields of machine learning and artificial intelligence, with applications to robotics and precision medicine. His research focuses on developing versatile AI systems that can learn multiple tasks over a lifetime of experience in complex environments, transfer learned knowledge to rapidly acquire new abilities, and collaborate effectively with humans and other agents through interaction. This research combines techniques from lifelong or continual learning, transfer and multi-task learning, deep learning, reinforcement learning, interactive AI, machine perception, and robotic control.