Professor Asu Ozdaglar is the MathWorks Professor of Electrical Engineering and Computer Science and the department head of Electrical Engineering and Computer Science (EECS) at MIT. She is also the deputy dean of academics for the MIT Schwarzman College of Computing.

Her research expertise includes optimization, machine learning, economics, game theory and networks. Her work has pioneered algorithms for distributed optimization and game-theoretic learning, with broad applications in multi-agent dynamics, federated learning, and robust adversarial machine learning. Her work on social and economic networks has spearheaded network-based approaches to economic dynamics, systemic risk, and misinformation and influence in social networks.

Her recent research focuses on game-theoretic artificial intelligence (AI), studying multi-agent decision-making and reinforcement learning, human-AI collaboration, and the interplay between algorithms, human behavior and interventions. The work aims to design incentives, fine-tuning and steering paradigms, communication and signaling standards and mechanisms for optimizing social welfare measures that are good for the society. Another strand of research in her group explores economics of data in systems with multiple human-AI participants and data informativeness for downstream decision tasks.