Welcome
I am an Assistant Professor of Operations Management at Desautles Faculty of Management, McGill University.
I received my Ph.D. from the Rotman School of Management. My research applies techniques such as network games, queueing, capacity management, learning, statistics, and data-driven algorithms to solve socially responsible and revenue management operations problems.
I am a co-founder of the Rotman Young Scholar Seminar series. Feel free to contact me if you would like to join the seminars.
Please feel free to message me if you like to discuss ideas and collaborate!
What's new?
Nov 6, PricingService.ai has adopted our research in their pricing service: From Research to Revenue: The Science Behind One-Shot Price Experiments for Hotels
Oct 24, Curious why your favorite Netflix show got canceled? Read my interview with Delve newsletter here: How Bingeable TV Protects Against Negative Criticism
Oct 20, Winner for INFORMS Case Competition, "Potty Parity: Stadium Restroom Design"
Sep 2, Finalist for INFORMS Case Competition, "Potty Parity: Stadium Restroom Design"
Aug 29, Finalist for DEI best student paper award, "Potty Parity: Process Flexibility via Unisex Restroom"
Aug 18, A new paper is out, "Robust One-Shot Price Experimentation"
Dec 18, A new paper is out, "Simultaneous vs. Sequential Media Content Release"
Oct 15-18, Session Chair at 2023 INFORMS Annual Meeting, Phoenix, Arizona, "Simultaneous vs. Sequential Media Content Release"
Oct 28-Nov 1, Accepted at third ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, "Potty Parity: Process Flexibility via Unisex Restroom", Boston University, Boston,
2023 MSOM talks, Montreal:
Jun 24, MSOM SiG, "Sharing Newsboys"
Jun 25, "Potty Parity: Process Flexibility via Unisex Restroom"
Winner, CORS Student Paper Competition (Open Category) 2023 "Learning Consumer Preferences from Bundle Sales Data"
Finalist, Queueing and Applied Probability SIG Best Student Paper Competition 2023, "Potty Parity: Process Flexibility via Unisex Restroom"
The paper "Learning Consumer Preferences from Bundle Sales Data" is tweeted by deepAI