Muhammad Mamdani

MPH, MA, PharmD

Scientist

Biography

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 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. Tadrous, M, Shakeri, A, Chu, C, Watt, J, Mamdani, MM, Juurlink, DN et al.. Assessment of Stimulant Use and Cardiovascular Event Risks Among Older Adults. JAMA Netw Open. 2021;4 (10):e2130795. doi: 10.1001/jamanetworkopen.2021.30795. PubMed PMID:34694389 .
  2. Wettstein, MS, Baxter, NN, Sutradhar, R, Mamdani, M, Song, P, Qadri, SR et al.. Oncological benefit of re-resection for T1 bladder cancer: a comparative effectiveness study. BJU Int. 2021; :. doi: 10.1111/bju.15622. PubMed PMID:34674366 .
  3. Boulos, MI, Kamra, M, Colelli, DR, Kirolos, N, Gladstone, DJ, Boyle, K et al.. SLEAP SMART (Sleep Apnea Screening Using Mobile Ambulatory Recorders After TIA/Stroke): A Randomized Controlled Trial. Stroke. 2021; :STROKEAHA120033753. doi: 10.1161/STROKEAHA.120.033753. PubMed PMID:34628939 .
  4. Wettstein, MS, Baxter, NN, Sutradhar, R, Mamdani, M, Song, P, Qadri, SR et al.. Factors Associated with Re-resection in T1 Bladder Cancer: Identifying Patients Who do Not Receive Guideline-Concordant Care at the Population Level. J Urol. 2021; :101097JU0000000000002229. doi: 10.1097/JU.0000000000002229. PubMed PMID:34547923 .
  5. Cohen, JP, Cao, T, Viviano, JD, Huang, CW, Fralick, M, Ghassemi, M et al.. Problems in the deployment of machine-learned models in health care. CMAJ. 2021;193 (35):E1391-E1394. doi: 10.1503/cmaj.202066. PubMed PMID:34462316 PubMed Central PMC8443295.
  6. Antoniou, T, Mamdani, M. Evaluation of machine learning solutions in medicine. CMAJ. 2021;193 (36):E1425-E1429. doi: 10.1503/cmaj.210036. PubMed PMID:34462315 PubMed Central PMC8443287.
  7. Salehinejad, H, Kitamura, J, Ditkofsky, N, Lin, A, Bharatha, A, Suthiphosuwan, S et al.. A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography. Sci Rep. 2021;11 (1):17051. doi: 10.1038/s41598-021-95533-2. PubMed PMID:34426587 PubMed Central PMC8382750.
  8. Vanderloo, LM, Omand, J, Keown-Stoneman, CDG, Janus, M, Tremblay, MS, Maguire, JL et al.. Association Between Physical Activity, Screen Time and Sleep, and School Readiness in Canadian Children Aged 4 to 6 Years. J Dev Behav Pediatr. 2021; :. doi: 10.1097/DBP.0000000000000986. PubMed PMID:34387247 .
  9. Kwong, JCC, McLoughlin, LC, Haider, M, Goldenberg, MG, Erdman, L, Rickard, M et al.. Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework. Eur Urol Focus. 2021;7 (4):672-682. doi: 10.1016/j.euf.2021.07.004. PubMed PMID:34362709 .
  10. Martins, D, Khuu, W, Tadrous, M, Greaves, S, Sproule, B, Bozinoff, N et al.. Impact of changes in opioid funding and clinical policies on rapid tapering of opioids in Ontario, Canada. Pain. 2021; :. doi: 10.1097/j.pain.0000000000002420. PubMed PMID:34326293 .
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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
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