Chamsi Hssaine

Chamsi Hssaine

Postdoctoral Scientist,
Amazon

I am a postdoctoral scientist at Amazon within the Supply Chain Optimization Technologies (SCOT) group. I will join the Department of Data Sciences and Operations at USC’s Marshall School of Business as an assistant professor in fall 2023. I recently obtained my Ph.D. in operations research at Cornell University, where I was 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.

Interests

  • Data-Driven Decision-Making
  • Revenue Management and Pricing

Education

  • Ph.D., Operations Research, 2022

    Cornell University

  • M.S., Operations Research, 2020

    Cornell University

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

    Princeton University

Publications

Siddhartha Banerjee, Chamsi Hssaine, Sean Sinclair (2022). The Effectiveness of Guardrails in Online Fair Allocation. Working paper. Accepted for poster presentation at EAAMO'22.

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. Submitted. 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. Submitted.

Preprint

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

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:

  • Rotman Young Scholar Seminar Series, University of Toronto Rotman School of Management OM Department, September 2022
  • Workshop on Algorithms for Learning and Economics, June 2022
  • Meta, April 2022
  • 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

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