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 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 in the 2017 George Nicholson student paper competition as well as the 2018 POM Applied Research Challenge.
He 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, Shane G. Henderson, Eoin O'Mahony, and David B. Shmoys. INFORMS Journal on Applied Analytics Vol. 49, No. 5 (2019): 310-323.
Yi Ong, Hao, Daniel Freund, and Davide Crapis. INFORMS Journal on Applied Analytics. Forthcoming. arXiv.
Banerjee, Siddhartha, Daniel Freund, and Thodoris Lykouris. Operation Research. Forthcoming. arXiv Preprint.
Freund, Daniel, and Chamsi Hssaine, MIT Sloan Working Paper 6442-21. Cambridge, MA: MIT Sloan School of Management, June 2021.
Freund, Daniel, and Jiayu Zhao, MIT Sloan Working Paper 6440-21. Cambridge, MA: MIT Sloan School of Management, June 2021.
Freund, Daniel, and Garrett J. van Ryzin, MIT Sloan Working Paper 6441-21. Cambridge, MA: MIT Sloan School of Management, June 2021.