Daniel Freund is the Class of 1947 Career Development Professor and an Assistant Professor of Operations Management at the MIT Sloan School of Management.
His research focuses on complex decision-making problems in the sharing economy. During his PhD he developed the analytical methods used by bike-sharing systems like Citi Bike, Ford Go Bike, and Boston Blue Bikes to inform their rebalancing, thus enabling thousands of incremental bike rides every day. Prior to joining MIT, Daniel spent a year as a Research Fellow at Lyft Marketplace Labs where he developed new algorithms and market mechanisms for the ride sharing industry.
He received the 2021 APS Best Publication Award, the 2018 George B. Dantzig Dissertation Award, the 2018 Daniel H. Wagner Prize for Excellence in Operations Research, and a Best Paper Award at the 2018 ACM SIGCAS Conference. He was also a finalist for the 2017 George Nicholson student paper prize, the 2018 POM Applied Research Challenge, and the 2020 Daniel H. Wagner Prize.
Freund holds a BSc in mathematics from the University of Warwick (UK), as well as an MS and a PhD in applied mathematics from Cornell University, where he was advised by Prof. David B. Shmoys.
Freund, Daniel, Ilan Lobel, and Jiayu Zhao, MIT Sloan Working Paper 6816-22. Cambridge, MA: MIT Sloan School of Management, September 2022.
Daniel Freund, Thodoris Lykouris, and Wentao Weng. In Proceedings of Thirty Fifth Conference on Learning Theory, edited by Maxim Raginsky and Po-Ling Loh. London, UK: July 2022.
Freund, Daniel, and Chamsi Hssaine, MIT Sloan Working Paper 6817-21. Cambridge, MA: MIT Sloan School of Management, September 2022.
Banerjee, Siddhartha, Daniel Freund, and Thodoris Lykouris. Operation Research Vol. 73, No. 3 (2022): 1783-1805. arXiv Preprint.