About Me
I am a Ph.D. candidate in Operations Research at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, advised by Professors Sigrún Andradóttir and Hayriye Ayhan. I am also fortunate to collaborate with Prof. Fei Gao, Prof. Wenchang Zhang, and Prof. Yuwei Zhou at the Kelley School of Business, Indiana University. Before joining Georgia Tech, I received a B.S. in Mathematics with a minor in Finance from Boston College in 2022.
My research focuses on stochastic modeling and its applications to sustainable and socially responsible operations. My interests include:
- Stochastic modeling and pricing: I use Markov decision processes and queueing theory to study stochastic systems and develop pricing and control policies.
- Sustainable retail operations: I study operational decisions related to food waste reduction, food donation, and on-demand services, considering both business performance and social impact.
I am also interested in machine learning methods for modeling and predicting complex stochastic systems and using these insights to improve operational decision-making.
In addition, I have industry experience in semiconductor supply chains. During my internship at Sandisk, I worked on capacity planning and inventory simulation to support manufacturing and supply-chain decisions.
You can also learn more about me on LinkedIn or find my articles on Google Scholar.
Publications
CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series
Jiecheng Lu, Jieqi Di, Runhua Wu, Yuwei Zhou
Neural Information Processing Systems (NeurIPS), 2026 — to appear.
Computable PAC Learning of Continuous Features
Nathanael L. Ackerman, Julian Asilis, Jieqi Di, Cameron E. Freer, Jean-Baptiste Tristan
37th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2022.
Preprints
Food Waste in Omnichannel Grocery Retail: The Role of Buy Online and Pick Up In Store [SSRN]
Jieqi Di, Yuwei Zhou, Fei Gao
Under review.
Pricing in Queues with Abandonments: Optimal Policies and Practical Heuristics [SSRN]
Jieqi Di, Sigrún Andradóttir, Hayriye Ayhan
Under review.
Working Papers
Dynamic Pricing in Queueing Systems With Customer Abandonments and Reimbursement
Jieqi Di, Sigrún Andradóttir, Hayriye Ayhan
Work in progress.
Optimal Geofencing for Spatially Distributed Demand in Food Pickup Operations
Jieqi Di, Wenchang Zhang, Yuwei Zhou
Work in progress.
Optimal Pricing in Tandem Queues with a Shared Buffer
Jieqi Di, Sigrún Andradóttir, Hayriye Ayhan
Work in progress.
Talks and Presentations
Optimal Pricing in Tandem Queues with a Shared Buffer
- INFORMS Annual Meeting (November 2026)
Transformer-Based Next-Step Prediction for Queue Length Distribution
INFORMS Optimization Society Meeting (March 2026)
NeurIPS ML×OR Workshop (December 2025)
Dynamic Pricing in Queueing Systems With Customer Abandonments and Reimbursement
INFORMS Annual Meeting (October 2025)
INFORMS Applied Probability Society Meeting (July 2025)
Pricing in Queue with Abandonment: Optimal Policies and Practical Heuristics
IISE Annual Meeting (June 2025)
POMS Annual Meeting (May 2025)
INFORMS Annual Meeting (October 2024)
Honors and Awards
- ARC-ACO Student Fellowship, Georgia Tech (Spring 2025)
- ISyE Topper Fellowship, Georgia Tech (academic year 2022–2023)
- Paul J. Sally Jr. Award, Department of Mathematics, Boston College (May 2022)
Teaching
Graduate Teaching Assistant, Georgia Tech
- ISYE 6762 Stochastic Processes II (Fall 2026)
- ISYE 6664 Stochastic Optimization (Fall 2024)
- ISYE 4232 Advanced Stochastic Systems (Summer 2024, Summer 2023)
Tutor and Grader, Boston College
Connors Family Learning Center
- Calculus, Probability, Combinatorics, Linear Algebra