Muhammad Mamdani

MPH, MA, PharmD

Vice President - Data Science and Advanced Analytics at Unity Health Toronto Odette Chair in Advanced Analytics


Dr. Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto. Dr. Mamdani’s team bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also Professor in the Department of Medicine of the Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana Faculty of Public Health. He is also adjunct Senior Scientist at the Institute for Clinical Evaluative Sciences (ICES) and a Faculty Affiliate of the Vector Institute, which is a leading institution for artificial intelligence research in Canada.

Dr. Mamdani holds a Doctor of Pharmacy degree from the University of Michigan, a fellowship in pharmacoeconomics from the Detroit Medical Centre, a Master of Arts degree in econometric theory from Wayne State University, and a Master of Public Health from Harvard University with a focus on statistics and epidemiology. He has previously been named among Canada’s Top 40 under 40. Dr. Mamdani’s research interests include pharmacoepidemiology, pharmacoeconomics, drug policy, and the application of advanced analytics approaches to clinical problems and health policy decision-making. He has published nearly 500 studies in peer-reviewed healthcare journals.

Please note: Dr. Mamdani is not taking any summer students.




Recent Publications

  1. Antoniou, T, Martins, D, Campbell, T, Tadrous, M, Munro, C, Leece, P et al.. Impact of policy changes on the provision of naloxone by pharmacies in Ontario, Canada: A population-based time series analysis. Addiction. 2020; :. doi: 10.1111/add.15324. PubMed PMID:33207025 .
  2. Fralick, M, Murray, J, Mamdani, M. Predicting emergency department volumes: A multicenter prospective study. Am J Emerg Med. 2020; :. doi: 10.1016/j.ajem.2020.10.047. PubMed PMID:33153835 .
  3. Elliott, J, Johnston, A, Husereau, D, Kelly, SE, Eagles, C, Charach, A et al.. Pharmacologic treatment of attention deficit hyperactivity disorder in adults: A systematic review and network meta-analysis. PLoS One. 2020;15 (10):e0240584. doi: 10.1371/journal.pone.0240584. PubMed PMID:33085721 PubMed Central PMC7577505.
  4. Salata, K, Almaghlouth, I, Hussain, MA, de Mestral, C, Greco, E, Aljabri, BA et al.. Outcomes of Abdominal Aortic Aneurysm Repair Among Patients with Rheumatoid Arthritis. J Vasc Surg. 2020; :. doi: 10.1016/j.jvs.2020.08.134. PubMed PMID:32950628 .
  5. Mamdani, M, Slutsky, AS. Artificial intelligence in intensive care medicine. Intensive Care Med. 2020; :. doi: 10.1007/s00134-020-06203-2. PubMed PMID:32767073 .
  6. Weisman, A, King, LK, Mamdani, M. Reporting and variability of constructing medication treatment episodes in pharmacoepidemiology studies: A methodologic systematic review using the case study of DPP-4 inhibitors and cardiovascular outcomes. Pharmacoepidemiol Drug Saf. 2020;29 (8):939-950. doi: 10.1002/pds.5071. PubMed PMID:32662222 .
  7. Laba, TL, Cheng, L, Worthington, HC, McGrail, KM, Chan, FKI, Mamdani, M et al.. What happens to drug use and expenditure when cost sharing is completely removed? Evidence from a Canadian provincial public drug plan. Health Policy. 2020;124 (9):977-983. doi: 10.1016/j.healthpol.2020.05.001. PubMed PMID:32553741 .
  8. Bisson, DA, Flaherty, ML, Shatil, AS, Gladstone, D, Dowlatshahi, D, Carrozzella, J et al.. Original and Modified Graeb Score Correlation With Intraventricular Hemorrhage and Clinical Outcome Prediction in Hyperacute Intracranial Hemorrhage. Stroke. 2020;51 (6):1696-1702. doi: 10.1161/STROKEAHA.120.029040. PubMed PMID:32390552 .
  9. Tadrous, M, Martins, D, Mamdani, MM, Gomes, T. Characteristics of high-drug-cost beneficiaries of public drug plans in 9 Canadian provinces: a cross-sectional analysis. CMAJ Open. ;8 (2):E297-E303. doi: 10.9778/cmajo.20190231. PubMed PMID:32345708 PubMed Central PMC7207026.
  10. Mazereeuw, G, Gomes, T, Macdonald, EM, Greaves, S, Li, P, Mamdani, MM et al.. Oxycodone, Hydromorphone, and the Risk of Suicide: A Retrospective Population-Based Case-Control Study. Drug Saf. 2020;43 (8):737-743. doi: 10.1007/s40264-020-00924-5. PubMed PMID:32328907 .
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Affiliations & Other Activities

  • Scientist, Li Ka Shing Knowledge Institute, St. Michael’s Hospital
  • Professor, Institute of Health Policy, Management, and Evaluation, University of Toronto
  • Professor, Leslie Dan Faculty of Pharmacy, University of Toronto
  • Adjunct Professor, King Saud University Senior Adjunct
  • Scientist, Institute for Clinical Evaluative Sciences