4 ways to use AI to improve lives, from MIT researchers
Artificial intelligence can tackle complex and important challenges, from creating fairer organ transplant policies to addressing asylum system backlogs.
Faculty
Daniel Freund is an Associate Professor of Operations Management at the MIT Sloan School of Management.
His research applies techniques from optimization, stochastic modeling, and revenue management to problems in transportation, online platforms, and humanitarian immigration among others. His work has been recognized, among others, with the PSOR Best Paper Award (2nd place, 2024), the MSOM Best OM Paper in OR Award (2023), the Applied Probability Society Best Publication Award (2021), the George B. Dantzig Dissertation Award (2018), the Daniel H. Wagner Prize for Excellence in Operations Research and Analytics (2018), and a Best Paper award at the ACM SIGCAS COMPASS conference (2018). Daniel is an AE for Operations Research and frequently serves on ACM program committees (e.g., EC, EAAMO, TheWebConf).
Daniel 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 David B. Shmoys. Before joining MIT, Daniel was a postdoc in Lyft's Marketplace Labs team.
Featured Publication
"On the Supply of Autonomous Vehicles in Platforms."Daniel Freund, Jiayu (Kamessi) Zhao, and Ilan Lobel. In Proceedings of the Twenty-Sixth ACM Conference on Economics and Computation, 2024. SSRN Version.
Featured Publication
"The Dedicated Docket in US Immigration Courts: An Analysis of Fairness and Efficiency Properties."Daniel Freund and Wentao Weng. In Proceedings of the Twenty-Sixth ACM Conference on Economics and Computation, 2024. SSRN Version.
Banerjee, Siddhartha, and Daniel Freund. Management Science. Forthcoming. SSRN Preprint.
Freund, Daniel, Chamsi Hssaine, and Jiayu (Kamessi) Zhao, MIT Sloan Working Paper 7324-25. Cambridge, MA: MIT Sloan School of Management, June 2025.
Freund, Daniel, David Hausman, and Wentao Weng, MIT Sloan Working Paper 7325-25. Cambridge, MA: MIT Sloan School of Management, June 2025.
Freund, Daniel and Chamsi Hssaine. Production and Operations Management Vol. 34, No. 1 (2025): 16-29. arXiv Preprint.
Artificial intelligence can tackle complex and important challenges, from creating fairer organ transplant policies to addressing asylum system backlogs.
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Rather than saying "we're going to use surge pricing at peak demand periods," they could offer discounts during off-peak periods.