The Health AI and Analytics Lab is a collaborative research group in the Department of Management Science and Engineering, dedicated to improving healthcare operations and medical decisions through AI and analytics. We develop models and decision tools that help healthcare systems allocate scarce resources, reduce wait times, improve access and equity, and support high-quality clinical and operational decisions. By integrating optimization, stochastic modelling, machine learning, and real world healthcare data, the lab translates analytical insights into practical policies that enhance system performance and patient outcomes, particularly in complex, capacity-constrained environments. Lab members work closely with healthcare providers across multiple sectors, with collaborations spanning acute‑care hospitals, cancer centres, rehabilitation centres, and community‑based providers, ensuring that solutions are designed for implementation and measurable impact.
News
Atahan Bayir Receives Fraser Research Award
Congratulations to Atahan Bayir, a PhD student in the the Department of Management Science and Engineering and a member of the Health AI and Analytics Lab, for receiving the Fraser Research Award.
Co-supervised by Dr. Safa Erenay and Dr. Sibel Alumur Alev, Atahan was recognized for his outstanding research on vascular access device selection and infection prevention in hospital settings. The Fraser Research Award is awarded annually to the author of the best research paper written by a MASc or PhD student in the Department of Management Sciences and Engineering during the previous three academic terms.
Health AI & Analytics Lab Members Recognized at CORS 2026
Members of the Health AI & Analytics Lab were actively engaged at the 2026 Canadian Operational Research Society (CORS) Conference, with several students presenting their research and earning recognitions in prestigious competitions. The conference highlighted the breadth of the lab’s work in healthcare operations, service systems, and applied analytics, with multiple students receiving finalist and award distinctions across several categories.
Congratulations to Ahmed Fawzy, Adam Drakich, Jessie Fan, Chris Wang, Gisele Zhang, Hamid Arzani, Larissa Troper, and Amirmohammad Marshalpirgheybi for their outstanding recognitions!
Lab Directors Appointed to Leadership Roles in CORS
At the CORS 2026 Annual Conference, Health AI & Analytics Lab directors were appointed to leadership roles within the Canadian Operational Research Society (CORS). Over the next year, Dr. Houra Mahmoudzadeh will serve as President, and Dr. Safa Erenay as Track Organizer for the Healthcare Operational Research Special Interest Group.