Muhammad Mamdani

MPH, MA, PharmD



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. Fralick, M, Debnath, M, Pou-Prom, C, O'Brien, P, Perkins, BA, Carson, E et al.. Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study. Intern Emerg Med. 2022; :1-4. doi: 10.1007/s11739-022-03148-w. PubMed PMID:36369632 PubMed Central PMC9651871.
  2. Pou-Prom, C, Murray, J, Kuzulugil, S, Mamdani, M, Verma, AA. From compute to care: Lessons learned from deploying an early warning system into clinical practice. Front Digit Health. 2022;4 :932123. doi: 10.3389/fdgth.2022.932123. PubMed PMID:36133802 PubMed Central PMC9483018.
  3. Nurse, KM, Janus, M, Birken, CS, Keown-Stoneman, CDG, Omand, JA, Maguire, JL et al.. Predictive Validity of the Infant Toddler Checklist in Primary Care at the 18-month Visit and School Readiness at 4 to 6 Years. Acad Pediatr. 2022; :. doi: 10.1016/j.acap.2022.09.004. PubMed PMID:36122830 .
  4. Li, B, de Mestral, C, Mamdani, M, Al-Omran, M. Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning. J Vasc Surg Cases Innov Tech. 2022;8 (3):466-472. doi: 10.1016/j.jvscit.2022.06.018. PubMed PMID:36016703 PubMed Central PMC9396444.
  5. Gunter, D, Puac-Polanco, P, Miguel, O, Thornhill, RE, Yu, AYX, Liu, ZA et al.. Rule-based natural language processing for automation of stroke data extraction: a validation study. Neuroradiology. 2022;64 (12):2357-2362. doi: 10.1007/s00234-022-03029-1. PubMed PMID:35913525 .
  6. Omand, JA, Li, X, Keown-Stoneman, CDG, Borkhoff, CM, Duku, E, Lebovic, G et al.. Body Weight at Age Four Years and Readiness to Start School: A Prospective Cohort Study. Child Obes. 2022; :. doi: 10.1089/chi.2022.0018. PubMed PMID:35834646 .
  7. Syed, MH, Al-Omran, M, Ray, JG, Mamdani, M, de Mestral, C. High-Intensity Hospital Utilization Among Adults With Diabetic Foot Ulcers: A Population-based Study. Can J Diabetes. 2022;46 (4):330-336.e7. doi: 10.1016/j.jcjd.2021.10.005. PubMed PMID:35527204 .
  8. Gomes, T, McCormack, D, Bozinoff, N, Tadrous, M, Antoniou, T, Munro, C et al.. Duration of use and outcomes among people with opioid use disorder initiating methadone and buprenorphine in Ontario: a population-based propensity-score matched cohort study. Addiction. 2022;117 (7):1972-1981. doi: 10.1111/add.15862. PubMed PMID:35257434 PubMed Central PMC9313829.
  9. Verma, AA, Murray, J, Greiner, R, Cohen, JP, Shojania, KG, Ghassemi, M et al.. Implementing machine learning in medicine. CMAJ. 2021;193 (34):E1351-E1357. doi: 10.1503/cmaj.202434. PubMed PMID:35213323 PubMed Central PMC8432320.
  10. Vanderloo, LM, Janus, M, Omand, JA, Keown-Stoneman, CDG, Borkhoff, CM, Duku, E et al.. Children's screen use and school readiness at 4-6 years: prospective cohort study. BMC Public Health. 2022;22 (1):382. doi: 10.1186/s12889-022-12629-8. PubMed PMID:35197009 PubMed Central PMC8864975.
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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