Chamsi Hssaine

Chamsi Hssaine

Ph.D. Candidate

Cornell University

I am a final-year Ph.D. candidate in Operations Research at Cornell University, where I’m fortunate to be advised by Professor Siddhartha Banerjee. I obtained my B.S.E. in Operations Research and Financial Engineering from Princeton University, with a minor in Applied Mathematics.

My research lies at the intersection of operations research and economics, focusing on algorithm and incentive design for smart societal systems. More specifically, I am interested in developing tools for these people-centric systems, with an emphasis on incorporating more realistic models of behavior under incentives.

In the fall of 2019, I was a visiting graduate student at the Simons Institute program on Online and Matching-Based Market Design. In addition to my academic work, I worked as an applied science intern at Amazon on the Personalization and Long-Term Optimization team in the summer of 2020, as well as a research intern at RAND in the summer of 2018.

Interests

  • Market Design
  • Revenue Management and Pricing
  • Smart Cities and Transportation

Education

  • Ph.D., Operations Research, 2022 (expected)

    Cornell University

  • M.S., Operations Research, 2020

    Cornell University

  • B.S.E., Operations Research and Financial Engineering, 2016

    Princeton University

Publications

Daniel Freund, Chamsi Hssaine, Jiayu Zhao (2021). Timing Opaque Promotions. Working paper.

Siddhartha Banerjee, Chamsi Hssaine, Vijay Kamble (2021). Pseudo-Competitive Games and Algorithmic Pricing. Under review at Management Science. Accepted for presentation at NeurIPS 2021 Workshops on Learning in Presence of Strategic Behavior and Learning and Decision-Making with Strategic Feedback.

Preprint

Daniel Freund, Chamsi Hssaine (2021). Earning Sans Learning: Noisy Decision-Making and Labor Supply on Gig Economy Platforms. Under review at Management Science.

Preprint

Siddhartha Banerjee, Chamsi Hssaine, Qi Luo, Samitha Samaranayake (2021). Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations. Under review at Operations Research.

PDF Code

Siddhartha Banerjee, Chamsi Hssaine, Noémie Périvier, Samitha Samaranayake (2021). Real-time approximate routing for smart transit systems. Proceedings of the ACM on Measurement and Analysis of Computing. Extended abstract in SIGMETRICS 2021. Selected as a finalist for the 2021 INFORMS Minority Issues Forum Paper Competition.

Preprint Code

Siddhartha Banerjee, Chamsi Hssaine (2018). Information Signal Design for Incentivizing Team Formation. Extended abstract in 14th Conference on Web and Internet Economics (WINE'18).

Preprint

Recent & Upcoming Talks

Pseudo-Competitive Games and Algorithmic Pricing:

  • INFORMS Annual Meeting, October 2021
  • Cornell ORIE Young Researchers Workshop, October 2021
  • Cornell CS Theory Seminar, September 2021
  • 31st European Conference on Operational Research, July 2021
  • INFORMS Revenue Management and Pricing Conference, June 2021
  • Marketplace Innovation Workshop (Poster), May 2021

Satisficing Search and Algorithmic Price Competition:

Teaching

I have been a teaching assistant for the following courses:

  • ORIE 4580: Simulation (Fall 2018)
  • ORIE 3800: Information Systems Analysis (Spring 2017-2018)
  • ORIE 3500: Engineering Probability and Statistics II (Fall 2016)

Contact