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Muhammad Mamdani

MPH, MA, PharmD

Scientist

Email: Muhammad.Mamdani@unityhealth.to
Tel: 416-864-3037

Research Programs

Biography

Dr. Mamdani is Vice President of Data Science and Advanced Analytics at Unity Health Toronto and Director of the University of Toronto Temerty Faculty of Medicine Centre for Artificial Intelligence Education and Research in Medicine (T-CAIREM). 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 Temerty 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 over 500 studies in peer-reviewed healthcare journals.

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

Recent Publications

  1. Sharma, R, Aslam, Y, Faisal, S, McAiney, C, Chang, F, Sadowski, CA et al.. Barriers and facilitators to implementation research on pharmacist-led medication reviews in memory clinics: A qualitative study using the TDF-COM-B. PLoS One. 2026;21 (1):e0341014. doi: 10.1371/journal.pone.0341014. PubMed PMID:41557681 PubMed Central PMC12818622.
  2. Bøg, M, Bojesen, AB, Emerson, S, Ivkovic, M, Jenkins, NC, Lübker, C et al.. Development of Cardiovascular Risk Equations in People with Overweight or Obesity and Established Cardiovascular Disease Without Diabetes Based on the SELECT Trial. Pharmacoeconomics. 2026; :. doi: 10.1007/s40273-025-01580-2. PubMed PMID:41553702 .
  3. Alanezi, T, Li, B, Al-Omran, L, Alshabanah, L, Alkhayal, NK, Verma, M et al.. Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review. J Patient Rep Outcomes. 2026; :. doi: 10.1186/s41687-026-00992-8. PubMed PMID:41533277 .
  4. Khan, H, Frljuckic, S, Zamzam, A, Ashour, R, Saposnik, G, Mamdani, M et al.. VEGF as a predictor of major adverse events in patients with peripheral arterial disease - an exploratory study. J Thromb Thrombolysis. 2025; :. doi: 10.1007/s11239-025-03221-z. PubMed PMID:41466167 .
  5. Azarfar, G, Naimimohasses, S, Rambhatla, S, Komorowski, M, Ferro, D, Lewis, PR et al.. Responsible adoption of multimodal artificial intelligence in health care: promises and challenges. Lancet Digit Health. 2025;7 (12):100917. doi: 10.1016/j.landig.2025.100917. PubMed PMID:41387134 .
  6. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning. NPJ Digit Med. 2025;9 (1):15. doi: 10.1038/s41746-025-02187-9. PubMed PMID:41345783 PubMed Central PMC12779959.
  7. Colacci, M, Pou-Prom, C, Siddiqi, A, Mamdani, M, Verma, AA. Evaluating sociodemographic bias in a deployed machine-learned patient deterioration model. JAMIA Open. 2025;8 (6):ooaf158. doi: 10.1093/jamiaopen/ooaf158. PubMed PMID:41334247 PubMed Central PMC12668680.
  8. Chang, SN, Exall, E, Dixon, C, Tickler, G, Mamdani, M, Body, R et al.. Beyond diagnostic test performance: two content-validated questionnaires assessing patient and clinician satisfaction with diagnostic tests. J Patient Rep Outcomes. 2025;10 (1):9. doi: 10.1186/s41687-025-00964-4. PubMed PMID:41307602 PubMed Central PMC12816492.
  9. Mamdani, M. [Not Available]. CMAJ. 2025;197 (34):E1126-E1128. doi: 10.1503/cmaj.250888-f. PubMed PMID:41087044 PubMed Central PMC12527302.
  10. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Reply. J Vasc Surg. 2025;82 (4):1545-1547. doi: 10.1016/j.jvs.2025.06.037. PubMed PMID:40967721 .
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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