معرفی
Majid Taghavi is an Associate Professor at the Sobey School of Business, Saint Mary's University, with adjunct roles at Dalhousie University’s Department of Industrial Engineering and School of Health Administration. His expertise spans healthcare operations and business analytics, focusing on optimization models in healthcare logistics, machine learning applications, and operations research.
- Education: Ph.D. in Management Science (McMaster University, 2015), M.Sc. in Industrial Engineering (2009), B.Sc. in Applied Mathematics (2003)
His research integrates operations research techniques with healthcare challenges, including vaccine distribution optimization, hospital discharge prediction, and palliative care workforce planning. He also explores sustainable transportation solutions like electric vehicle charging infrastructure planning.
Recent work emphasizes machine learning for healthcare decision-making, such as identifying risk factors for hospital readmissions and predicting patient no-shows in emergency departments. His interdisciplinary approach bridges technical models with real-world healthcare systems.
- Awards: None explicitly listed in provided texts
Advising and grants: No specific students or grants mentioned, but his roles imply active research collaboration. He contributes to policy-oriented studies like alternate level of care reviews and palliative care workforce planning.
