CHAMSI HSSAINE Contact School of Operations Research & Information Engineering 288 Rhodes Hall Cornell University Ithaca, NY 14853 https://chamsihssaine.github.io ch822@cornell.edu Research Market design; revenue management and pricing; data-driven decision-making; algorithmic Interests game theory. Education Cornell University, Ithaca, NY Ph.D. in Operations Research, GPA: 4.06/4.0 May 2022 (expected) − Advisor: Prof. Siddhartha Banerjee − Minors: Applied Mathematics, Production and Operations M.S. in Operations Research March 2020 Princeton University, Princeton, NJ B.S.E. in Operations Research and Financial Engineering June 2016 − Honors: Magna Cum Laude − Minor: Applied and Computational Mathematics Journal Real-Time Approximate Routing for Smart Transit Systems Publications Siddhartha Banerjee, Chamsi Hssaine, No´emie P´erivier, Samitha Samaranayake ACM Measurement and Analysis of Computing Systems (ACM POMACS), 2021. (Invited based on acceptance to ACM SIGMETRICS ’21, June 2021.) Finalist for the 2021 INFORMS Minority Issues Forum Paper Competition. Refereed Real-Time Approximate Routing for Smart Transit Systems Conference Siddhartha Banerjee, Chamsi Hssaine, No´emie P´erivier, Samitha Samaranayake Publications In ACM SIGMETRICS ’21, June 2021. Information Signal Design for Incentivizing Team Formation Siddhartha Banerjee, Chamsi Hssaine. In 14th Conference on Web and Internet Economics (WINE ’18), December 2018. (Appeared as an Extended Abstract.) Submitted Earning Sans Learning: Noisy Decision-Making and Labor Supply on Gig Economy Papers Platforms Daniel Freund, Chamsi Hssaine Under review at Management Science. Pseudo-Competitive Games and Algorithmic Pricing Siddhartha Banerjee, Chamsi Hssaine, Vijay Kamble Under review at Management Science. Plan Your System and Price for Free: Fast Algorithms for Multimodal Transit Operations Siddhartha Banerjee, Chamsi Hssaine, Qi Luo, Samitha Samaranayake Under review at Operations Research. Working Timing of Opaque Promotions Papers Daniel Freund, Chamsi Hssaine, Jiayu Zhao. Honors and Selected as a finalist for the INFORMS Minority Issues Forum Paper Competition, Awards October 2021 Selected for the Young Researchers Workshop at Cornell ORIE, October 2021 Selected for the Rising Stars program in EECS at UC Berkeley, November 2020 Selected for the Stanford GSB Rising Scholars Conference, October 2020 Popular Poster Award, Mechanism Design for Social Good Workshop, June 2019 Kenneth H. Condit Prize, Princeton University, June 2016 Departmental award for leadership through academic achievement and community service Presentations Pseudo-Competitive Games and Algorithmic Pricing − INFORMS Annual Meeting, Anaheim, CA, October 2021. − ORIE Young Researchers Workshop, Cornell University, October 2021. − CS Theory Seminar, Cornell University, September 2021. − Revenue Management and Pricing Conference, Virtual, June 2021. Satisficing Search and Algorithmic Price Competition − Revenue Management and Pricing Conference, Virtual, June 2021. − Marketplace Innovation Workshop (Poster), Virtual, May 2021. − Imperial College-LBS-UCL OR/MS PhD Seminar, Virtual, March 2021. − Stanford GSB Rising Scholars Conference, Virtual, October 2020. − INFORMS Annual Meeting, Virtual, October 2020. − Kellogg-Wharton OM Workshop, Virtual, July 2020. − Candidacy Exam, Virtual, March 2020. Real-time approximate routing for smart transit systems − Vanderbilt University, TransitScope Lab Group, Virtual, January 2021. Pricing a Mobility Marketplace − INFORMS Annual Meeting, Seattle, WA, October 2019. − Young Researchers Workshop (flash talk), Cornell University, October 2019. − Mechanism Design for the Social Good Workshop, EC’19, June 2019. − Marketplace Innovation Workshop, Stanford University, June 2019. Teaching ORIE 4580/5580, Simulation Modeling and Analysis: Teaching Assistant, Fall 2018 ORIE 3800, Information Systems Analysis: Teaching Assistant, Spring 2017-2018 ORIE 3500/5500, Probability and Stochastic Systems: Teaching Assistant, Fall 2016 Prior Industry Amazon, Applied Scientist Intern, June-August 2020 Experience Project title: “Long-Term Impacts of Sponsored Products Interventions on Amazon Shoppers: Estimation and Optimization” RAND Corporation, Summer Associate, May-August 2018 Project title: “Informing agent-based models with social influence networks: Sampling a large- scale urban network and learning from egocentric network data” Deutsche Bank, Summer Associate, June-August 2015 CASTLE Labs, Research Intern, May-August 2014 Project title: “Developing a probability model for power grid faults using incomplete information” Service Journal Reviewer: MSOM, Management Science, Performance Evaluation, IISE Transac tions Conference Reviewer: IEEE American Control Conference (ACC ’20) Program Committees: Workshop on Operations of People-Centric Systems at EC’21 Organizations: − ORIE PhD Diversity Ambassador, Cornell University, 2021-Present − Panelist, Academic Street Smarts Workshop for 1st Year PhD students in OR, Cornell University, 2020-2021 − Cornell Tech Liaison, Operations Research Graduate Students’ Association, Cornell Univer sity, 2019-2020 − Mentoring Chair, Women in OR, Cornell University, 2018-2020 − Member, Graduate Women in Science, Cornell University, 2016-Present Selected Online Decision-Making and Market Design; Game Theory and Mechanism Design; Analysis Graduate of Algorithms; Networks, Crowds, and Markets; Mathematical Programming; Foundations Coursework of Information Networks; Applied Stochastic Processes; Statistical Principles; Multi-arm Bandit Models; Computational Methods in Operations Research