Preprints & Working Papers

(2026). Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback. arXiv.

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(2026). Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches. arXiv.

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(2026). HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation. arXiv.

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(2025). Deep Learning-Driven Contextual Stochastic Optimization for Real-Time Order Fulfillment. Working paper.

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Journal Articles

(2025). Cornell University Uses Integer Programming to Optimize Final Exam Scheduling. INFORMS Journal on Applied Analytics.

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(2025). Contextual Stochastic Optimization for Omnichannel Multicourier Order Fulfillment under Delivery Time Uncertainty. Manufacturing & Service Operations Management.

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(2025). Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling. Transportation Research Part E.

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(2023). A Min-Max Theorem for the Minimum Fleet-Size Problem. Operations Research Letters.

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Conference Papers

(2026). Paratransit Optimization with Constraint Programming: A Case Study in Savannah, Georgia. CP 2026.

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(2026). LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection. IJCAI-ECAI 2026.

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(2025). Conformal Predictive Distributions for Order Fulfillment Time Forecasting. International Conference on Computational Logistics.

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(2024). Evaluating Solvers for Linearly Constrained Simulation Optimization. WSC 2024.

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