Research
I’ve spent a lot of time in school. Here’s where some of it went.
My research focuses on healthcare operations, decision-making, and applied AI.
I study how complex healthcare data, especially unstructured information, can be transformed into useful signals for understanding how care is delivered and how systems can improve. My work spans problems in planning, scheduling, capacity allocation, and longitudinal care, with a focus on capturing variation in patient needs, treatment response, and service demand. Broadly, I use AI, analytics, and operations research to make healthcare systems more measurable and to support decisions that are more informed, efficient, and responsive to how patients actually move through care.
Conference presentations
- July 2026INFORMS Healthcare Conference, Raleigh, NC
- June 2026CORS Annual Meeting, Kingston, ON
- June 2025CORS Annual Meeting, Edmonton, AB
Selected awards
- 2025–2027Ontario Graduate Scholarship (OGS)
- 2025–2027President’s Graduate Scholarship
- 2025Dean of Engineering Master’s Excellence Award
- 2025Engineering Dean’s Entrance Award
Teaching
Teaching Assistant, MSE 531: Stochastic Processes and Decision Making
Spring 2026Department of Management Science & Engineering, University of Waterloo
Developed a tutorial series on dynamic programming and reinforcement learning as part of a broader course redesign, and supported weekly tutorial delivery.
Teaching Assistant, MSE 555: Scheduling: Theory and Practice
Winter 2026Department of Management Science & Engineering, University of Waterloo
Designed and facilitated a for a real-world healthcare capacity planning problem, including the case materials, data, facilitation plan, and grading rubric; 93% of students recommended using the case in future offerings.
Academic service and leadership
- 2026–PresentCapstone Project Co-Mentor, Management Engineering, University of Waterloo (2 teams)
- 2025–PresentTreasurer, CORS Waterloo Student Chapter