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

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