David Pynadath is an ICT computer scientist whose research interest is in decision-making in multi-agent systems, with a specific focus on how agents model others.
He has developed multi-agent systems for applications in social simulation, virtual training environments, automated personal assistants and Unmanned Aerial Vehicle (UAV) coordination and has published papers on social simulation, teamwork, plan recognition, and adjustable autonomy.
Pynadath received his Ph.D. from the University of Michigan, Ann Arbor in 1999.