I’m currently a PhD candidate in Operations Management at the University of Chicago Booth School of Business. My research focuses on revenue management, platform economy, and optimization under uncertainty.
Before Chicago Booth, I studied Applied Mathematics and Industrial Engineering as a Yellow Jacket at Georgia Tech.
“Optimal Commissions and Subscriptions in Networked Markets,” with J. Birge, O. Candogan and D. Saban, forthcoming at Manufacturing & Service Operations Management, 2019, preliminary version at the proceedings of the 19th ACM Conference on Economics and Computation (EC ’18), 2018.
“Markdown Policies for Demand Learning and Strategic Customer Behavior,” with J. Birge and N. Keskin. Under Review.
“To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environments,” with J. Birge, N. Keskin and A. Ward. Work in Progress.
Data Scientist Intern, Airbnb, Inc., Summer 2019
- Estimated the impact of ranking positions on customer searches and made recommendations to page designs
- Developed models to measure supply constraint in personalized searches
Research Scientist Intern, Amazon.com, Inc. Summer 2018
- Worked on econometric models with the Prime team to study customer behavior
- Evaluated the impact of Prime membership price changes
Presentations at INFORMS 2019
“Optimal Commissions and Subscriptions in Networked Markets – Part I”: SD17, CC- Room 305, October 20th at 5:30pm;
“Optimal Commissions and Subscriptions in Networked Markets – Part II”: WB17, CC- Room 305, October 23rd at 11:00am;
“Markdown Policies for Demand Learning with Forward-looking Customers”: TC23, CC- Room 3A, October 22nd at 12:20pm
“To Interfere or Not To Interfere: Information Revelation and Price-Setting Incentives in a Multiagent Learning Environments”: SD37, CC- Room 606, October 20th at 4:30pm (Old title: Price Coordination and Demand Learning in Platform Economies)