Daniel Freund is 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.
"Analytics and Bikes: Riding Tandem with Motivate to Improve Mobility."
Freund, Daniel, Shane G. Henderson, Eoin O'Mahony, and David B. Shmoys. Journal on Applied Analytics. Forthcoming.
"Data-Driven Rebalancing Methods for Bike-Share Systems."
Freund, Daniel, Ashkan Norouzi-Fard, Alice Paul, Carter Wang Shane G. Henderson, and David B. Shmoys. In Analytics for the Sharing Economy: Mathematics, Engineering, and Business Perspectives, Forthcoming.
Paul, Alice, Daniel Freund, Aaron Ferber, David B. Shmoys, and David P. Williamson. Mathematics of Operations Research. Forthcoming.
Gomes, Carla, Daniel Freund et al. Communications of the ACM Vol. 62, No. 9 (2019): 55-65.
Freund, Daniel and David P. Williamson. Discrete Applied Mathematics Vol. 252, No. 10 (2019): 28-36.
Freund, Daniel, Shane G. Henderson, and David B. Shmoys. In Sharing Economy: Making Supply Meet Demand, edited by Ming Hu, 435-459. Cham, Switzerland: Springer, 2019.