Papers

Research Interests

My research lies at the intersection of operations management, causal inference, and machine learning, with a focus on developing data-driven methods for decision-making in uncertain service environments.

Submitted & Working Papers

[1] Managing Scarce MRI Capacity in Overloaded Queueing Systems

Major revision at MSOM, 2026

  • ๐ŸŽ–๏ธ Finalist, CORS 2026 Healthcare SIG

[2] Bayesian Pricing for Impatient Customers with Unknown Valuation

Work in progress, draft available upon request

  • 2024 Rotman TD MDAL Research Grant

[3] Queueing Causal Models for Emergency Department Efficiency

Work in progress

  • 2025 Rotman TD MDAL Research Grant

[4] Fairness in Multi-Stage Healthcare Access: A Study of Congestion, Chronic Patients, and Operational Redesign

Work in progress

  • CORS 2026 Annual Meeting

Publications

[5] Queueing Causal Models: Comparative Analytics in Queueing Systems

MSOM, 2025

  • ๐Ÿฅ‡ First prize, CORS 2025 Queueing and Applied Probability SIG
  • ๐Ÿ† Winner, 2024 Oded Berman Student Paper Competition
  • ๐ŸŽ–๏ธ Finalist, CORS 2024 Best Student Paper Competition (Open Category)
  • Service Management SIG, MSOM 2024
  • 2023 Rotman TD MDAL Research Grant

[6] Leveraging Advanced Analytics to Streamline the Emergent Dialysis Process at Parkland Hospital

Healthcare Analytics, 2025

[7] A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations

Winter Simulation Conference (WSC), 2021.