Thodoris Lykouris

Thodoris Lykouris is an Assistant Professor of Operations Management at the MIT Sloan School of Management, affiliated with the Operations Management group and the Operations Research Center. His research focuses on data-driven sequential decision-making and spans across the areas of machine learning, dynamic optimization, and economics.

Dr. Lykouris received his PhD in Computer Science from Cornell University, where he was advised by Éva Tardos. Prior to his current position at MIT, he was a postdoctoral researcher at Microsoft Research NYC. He holds a diploma in Electrical and Computer Engineering from National Technical University of Athens (Greece).

His research interests include:

• Data-driven sequential decision-making
• Machine learning for operations
• Dynamic optimization
• Economics of decision-making
• Queueing theory and resource allocation
• Multi-agent learning systems

Dr. Lykouris's work spans across several domains with applications in shared mobility systems, content moderation, refugee resettlement, and review systems. His research combines theoretical foundations with practical applications, often developing algorithms with provable guarantees.

His scientific awards include:

• Google PhD Fellowship
• Cornell University Fellowship
• Finalist for George B. Dantzig Dissertation Award (2020)
• Finalist in INFORMS Junior Faculty Interest Group paper competition
• Finalist in INFORMS Nicholson Student Paper Competition (2018)
• Finalist in Applied Probability Society Student Paper Competition (2022)

Dr. Lykouris currently serves as an Associate Editor in the Stochastic Models area of Operations Research and on the Executive Committee of Learning Theory Alliance. He has organized multiple workshops and programs, including an interdisciplinary semester-long program on Data-driven decision processes at the Simons Institute in 2022.

He teaches courses including Introduction to Operations Management, Theory of Operations Management, and Hands-on Deep Learning at MIT.