Christopher Amato

About

Christopher Amato is an associate professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston. Amato's research lies at the intersection of artificial intelligence, machine learning, and robotics. He heads the Lab for Learning and Planning in Robotics, where he and his team work on planning and reinforcement learning in partially observable and multi-agent/multi-robot systems. Amato has published widely in leading AI, machine learning, and robotics conferences, receiving a best paper prize at AAMAS-14 and best paper nominations at RSS-15, AAAI-19, and AAMAS-21. He has also co-organized several tutorials on multi-agent planning and learning, and has co-authored a book on the subject. Before joining Northeastern, Amato was a research scientist at Aptima I

Education

• PhD in Computer Science, University of Massachusetts, Amherst
• MS in Computer Science, University of Massachusetts, Amherst
• BA in Clinical Psychology and Philosophy, Tufts University