Daniel Freund

Daniel Freund is a Robert G. James Career Development Associate Professor in Operations Management at the MIT Sloan School of Management. His research applies optimization, stochastic modeling, and revenue management to transportation, online platforms, and humanitarian immigration. He has received several awards, including the PSOR Best Paper Award (2nd place, 2024), the MSOM Best OM Paper in OR Award (2023), and the Applied Probability Society Best Publication Award (2021). Freund holds a BSc in mathematics from the University of Warwick and an MS and PhD in applied mathematics from Cornell University, advised by David B. Shmoys. Before joining MIT, he was a postdoc at Lyft's Marketplace Labs team.

Daniel Freund is an associate professor at MIT Sloan School of Management, specializing in Operations Research, Algorithms, Mobility, and Applied Probability. His research focuses on optimizing shared vehicle systems, bike-sharing, and ride-hailing platforms through computational methods. He develops approximation frameworks, simulation optimization techniques, and incentive mechanisms to enhance mobility and sustainability. His work addresses challenges in computational sustainability, fair incentives, and decentralized multi-agent learning. Freund's research also explores algorithmic fairness, group fairness in dynamic refugee assignment, and rank aggregation. His contributions span both theoretical and applied domains, with a strong emphasis on data-driven decision-making and system efficiency.