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
- ๐๏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
- ๐ฅ First prize, CORS 2025 Queueing and Applied Probability SIG
- ๐ Winner, 2024 Oded Berman Student Paper Competition
- ๐๏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.
