Thodoris Lykouris

Thodoris Lykouris is an Assistant Professor of Operations Management at the MIT Sloan School of Management. His research focuses on data-driven sequential decision-making and spans across the areas of machine learning, dynamic optimization, and economics. Prior to his current position, he was a postdoctoral researcher at Microsoft Research NYC where he was part of the machine learning group. His dissertation was selected as a finalist in the George B. Dantzig Dissertation Award competition. His papers have also been selected as finalists in the INFORMS Junior Faculty Interest Group paper competition as well as the INFORMS Nicholson and Applied Probability Society best student paper competitions. He is also the recipient of a Google PhD Fellowship and a Cornell University Fellowship. Thodoris holds a diploma in electrical and computer engineering from National Technical University of Athens (Greece) and a PhD in computer science from Cornell University, where he was advised by Éva Tardos.

Thodoris Lykouris is a researcher at MIT with expertise in machine learning, algorithms, optimization, and economics. His work explores the intersection of these fields, focusing on the design and analysis of algorithms for learning in dynamic environments, robust optimization under adversarial conditions, and the economic implications of algorithmic decision-making. His research includes topics such as competitive caching with machine learned advice, stochastic bandits robust to adversarial corruptions, and pricing in shared vehicle systems. He also investigates fairness in algorithmic decision-making and the interplay between AI and human agents in congested systems.