
My research examines the applications of innovative technologies and data analytics in operations, with an interest in characterizing their theoretical foundations and social impacts.
Research Papers
1. The Blockchain Newsvendor: Value of Freshness Transparency and Smart Contracts, with N. Bora Keskin & Jing-Sheng Jeannette Song
- Management Science (2025), 71(8):6666-6682. (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 Day (Supply Chain Management Track), 2023
- Featured in Duke Fuqua Insights
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
- Naval Research Logistics (2020), 67(5):368-379.
3. Innovator's Edge in Supply Chain Transparency and Food Waste Reduction, with N. Bora Keskin & Jing-Sheng Jeannette Song
- Management Science, under revision (SSRN Link)
- Accepted to MSOM SIG Day (Supply Chain Management Track), 2026
- 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
4. Information Provision with Information Overload, with N. Bora Keskin & Meng Li
- To be submitted soon
- 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
5. Incentivizing Electric Vehicle Adoption in Ride-Hailing, with N. Bora Keskin & Nur Sunar
- To be submitted soon
6. Interpretable Data-Driven Policy for Index-Based Yield Protection, with Kehan Lu, Jing-Sheng Jeannette Song & Can Zhang
- Working paper