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Scott Ryan Levin, Ph.D., M.S.

Scott Ryan Levin, Ph.D., M.S.

Headshot of Scott Ryan Levin
  • Associate Professor of Emergency Medicine


Dr. Levin is an Associate Professor and Associate Director for Research in the Department of Emergency Medicine.  He also serves as a Co-Director for the Center for Data Science in Emergency Medicine and the Systems Director for the Malone Center for Engineering in Healthcare housed in the Johns Hopkins Whiting School of Engineering.

Dr. Levin’s research focuses on the development and deployment of data science and systems engineering tools to improve healthcare delivery. This includes an emphasis on innovations in health informatics toward supporting data-driven medical decision-making and healthcare operations.

Dr. Levin has led (principal investigator) and been actively involved in many research efforts for the National Science Foundation (NSF), National Institutes of Health (NIH), Agency for Healthcare Research and Quality (AHRQ), National Academy of Medicine (NAM), National Academy of Engineering (NAE), Department of Homeland Security, Defense Advanced Research Projects Agency (DARPA) and several industry partners.  Results of this work are found in numerous publications applying data-science and systems engineering methods to medicine. more


  • Associate Professor of Emergency Medicine
  • Associate Professor of Medicine

Departments / Divisions

Centers & Institutes



  • B.S.; Miami University (Ohio) (2002)
  • M.S.; Vanderbilt University (Tennessee) (2006)
  • Ph.D.; Vanderbilt University (Tennessee) (2008)

Research & Publications

Selected Publications

View all on PubMed

Levin S, Toerper M, Hamrock E, Hinson J, Barnes S, Gardner H, Dugas A, Linton B, Kirsch T, Kelen G. Machine Learning-Based Triage More Accurately Differentiates Patients with Respect to Clinical Outcomes Compared to the Emergency Severity Index. Ann Emerg Med. 71(5):565-574, 2018

Martinez D, Hinson J, Klein E, Irvin N, Saheed M, Page K, Levin S. SARS-CoV-2 Positivity Rate for Latinos in the Baltimore-Washington Region. JAMA. 324(4):392-395, 2020

Martinez D, Levin S, Klein E, Parikh C, Taylor R, Hinson J. Early Prediction of Acute Kidney Injury in the Emergency Department using Machine Learning Methods Applied to Electronic Health Record Data. Ann Emerg Med. 76(4):501-514, 2020

Levin S., Harley E., Fackler J., Lehmann C., Custer J., France D., Zeger S. Real Time Forecasting of Pediatric Intensive Care Unit Length of Stay Using Computerized Provider Orders. Crit Care Med. 40(11):3058-64, 2012

Levin S. Computational Modeling for SMART Vaccines. In Ranking Vaccines: A Prioritization Tool. Washington, D.C, The National Academies Press, 2013

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