Hi! I'm Chenghuai Li
Welcome to my website! I am a Ph.D. candidate in Operations Management at Fuqua School of Business, Duke University. I am fortunate to be advised by Prof. N. Bora Keskin and Prof. Jeannette Song.
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Before joining Duke, I obtained a master's degree from Columbia University and a bachelor's degree from Fudan University in Shanghai, China.
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I am on the 2024-2025 academic job market!
Research Interests
Topics: Innovative Technologies, Sustainable & Socially Responsible Operations (Food Waste, Electric Vehicle Adoption), Supply Chain Digitization, Revenue Management & Pricing.
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Methodologies: Data-Driven Decision Making under Uncertainty, Statistical (Machine) Learning, Analytical Modeling, Field Experiment.
Research Papers
1. The Blockchain Newsvendor: Value of Freshness Transparency and Smart Contracts, with N. Bora Keskin & Jing-Sheng Jeannette Song
- Management Science, Forthcoming (SSRN Link)
- Winner, Best Paper Award, Digital Supply Chain and Supplier Diversity Conference, 2022
- Winner, Fan Favorite Award, CMU YinzOR Conference Flash Talk Competition, 2022
- Second Place, POMS-HK Best Student Paper Competition, 2023
- Accepted to MSOM SIG (Supply Chain Management Track), 2023
- Featured in Duke Fuqua Insights
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2. Finite-Time Regret Analysis of Kiefer-Wolfowitz Stochastic Approximation Algorithm and Nonparametric Multi-Product Dynamic Pricing with Unknown Demand, with L. Jeff Hong & Jun Luo (2020)
- Naval Research Logistics (NRL), 67(5):368-379.
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3. Innovator's Edge in Supply Chain Transparency and Food Waste Reduction, with N. Bora Keskin & Jing-Sheng Jeannette Song
- Management Science, Under review (SSRN Link)
- Finalist, INFORMS Minority Issues Forum Summer Webinar Competition, 2024
- Previous title: Innovator's Advantage in Competitive Technology Adoption: Enhancing Profit and Combating Food Waste via Supply Transparency
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4. Information Provision with Information Overload, with N. Bora Keskin & Meng Li
- To be submitted soon (draft available upon request) (Workshop Version)
- Winner, Best Student Paper, INFORMS Workshop on Data Science, 2024
- Accepted to INFORMS Data Mining & Decision Analytics (DMDA) Workshop, 2024
- Accepted to INFORMS Workshop on Data Science (DS), 2024
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5. Incentivizing Electric Vehicle Adoption in Ride-Hailing, with N. Bora Keskin & Nur Sunar
- To be submitted soon
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Contact
The Fuqua School of Business
Duke University
Email: chenghuai.li@duke.edu
Mobile: (+1) 919-884-7267
100 Fuqua Dr, Durham, NC 27708