Hongyao Ma 

I am an assistant professor in the Decision Risk and Operations division at Columbia Business School. I was a Linde postdoctoral scholar at Caltech in June 2020, and a postdoctoral research scientist at Uber from 2019 to 2020.

I completed my PhD in Computer Science at Harvard University in 2019, advised by David C. Parkes.  I received my MS in 2014 at Harvard, and BE in 2012 at Xi'an Jiaotong University, both in Electrical Engineering.

My research is broadly situated at the interface of computer science, economics, and operations. I am particularly interested in designing incentive-aligned systems to bring people together in useful ways, in the presence of uncertainty, self-interest, and autonomy.  The ACM SIGecom Dissertation Award Talk at EC'20 provides a high-level introduction to my main research interests.  

Curriculum vitae (updated July 2022).

Publications

Working papers

Yu, C., Ma, H., Iterative Network Pricing for Ridesharing Platforms. [pdf]

Castro, F., Ma, H., Nazerzadeh, H. and Yan, C., Randomized FIFO Mechanisms. Preliminary version in Proceedings of the 23rd ACM Conference on Economics and Computation (EC'22). pp.60-60. [arXiv][pdf][EC22][short talk]

Yu, C., Ma, H., and Wierman, A., Price Cycles in Ridesharing Platforms. [arXiv][pdf]

Castro, F., Frazier, P., Ma, H., Nazerzadeh, H. and Yan, C., Matching Queues, Flexibility and Incentives. [arXiv][pdf]

2021

Ma, H., Fang, F. & Parkes, D.C.,  2021. Spatio-Temporal Pricing for Ridesharing Platforms. Operations Research. Preliminary version in Proceedings of the 20th ACM Conference on Economics and Computation (EC'19). pp.583-583. [arXiv] [pdf][EC19][EC19 Talk]

2020

Ma, H., Meir, R., Parkes D.C., & Wu-Yan, E., Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias. In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'20). pp. 807-815. [Publisher's Version][arXiv][pdf][AAMAS20][AAMAS20 Talk]

2019

Ma, H., Meir, R., Parkes D.C., & Zou, J., Contingent Payment Mechanisms for Resource Utilization. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'19). pp. 422-430. Best paper award nomination. [Publisher's Version][arXiv] [pdf][AAMAS19]

Rheingans-Yoo, D., Kominers S.D., Ma, H. & Parkes, D.C., 2019. Ridesharing with Driver Location Preferences. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19). pp. 557-564. [Publisher's Version][arXiv][pdf]

2018

Ma, H., Meir, R. & Parkes, D.C., 2018. Social Choice with Non Quasi-linear Utilities. In Proceedings of the 2018 ACM Conference on Economics and Computation (EC'18). pp. 49-49. [Publisher's Version] [arXiv] [pdf] [EC18][EC18 Talk]

2017

Meir, R., Ma, H. & Robu, V., 2017. Contract Design for Energy Demand Response. In Proceedings of The 26th International Joint Conference on Artificial Intelligence (IJCAI'17). pp. 1202-1208. [Publisher's Version] [pdf]

Ma, H., Parkes, D.C. & Robu, V., 2017. Generalizing Demand Response Through Reward Bidding. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'17). pp. 60-68. [Publisher's Version] [pdf]

2016

Ma, H., Robu, V., Li, N. & Parkes, D.C., 2016. Incentivizing Reliability in Demand-Side Response. In Proceedings of The 25th International Joint Conference on Artificial Intelligence (IJCAI'16). pp. 352-358. [Publisher's Version] [pdf]

Ma, H., Meir, R. & Parkes, D.C., 2016. Social Choice for Agents with General Utilities. In Proceedings of The 25th International Joint Conference on Artificial Intelligence (IJCAI'16). pp. 345-351. [Publisher's Version] [pdf]

Contact 

hongyao.ma@columbia.edu

655 W130 St, Kravis Hall 1113, New York, NY, 10027