photo of Jessalyn

Dr. Jessalyn Holodinsky

Pronouns: she/her


Assistant Professor

Cumming School of Medicine, Department of Emergency Medicine

Assistant Professor

Cumming School of Medicine, Department of Community Health Sciences

Assistant Professor

Cumming School of Medicine, Department of Clinical Neurosciences


Faculty Researcher

Cumming School of Medicine, Centre for Health Informatics

Full Member

Hotchkiss Brain Institute

Full Member

O'Brien Institute for Public Health

Child Health & Wellness Researcher

Alberta Children's Hospital Research Institute

Contact information

Web presence


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miniMBA Certificate, Rotman School of Management, University of Toronto, 2019

Certificate in University Teaching and Learning, Taylor Institute for Teaching and Learning, University of Calgary, 2018

Educational Background

PhD Epidemiology, University of Calgary,

MSc Health Services Research, University of Calgary,


Dr. Jessalyn Holodinsky is an Assistant Professor (Data Science) in the Department of Emergency Medicine, with a cross-appointment to the Department of Community Health Sciences. She received her PhD in Epidemiology from the University of Calgary and also holds a Master’s of Science in Health Services Research. Jessalyn has trained in Calgary, Toronto (Sunnybrook Research Institute), Melbourne (Melbourne Brain Centre - University of Melbourne), and Dublin (Royal College of Surgeons in Ireland) lending an international perspective to her work. She has also previously performed research in the Departments of Clinical Neurosciences and Critical Care Medicine.


Jessalyn’s work focuses on complex problems at the health system level - like overcrowding in the ED - resulting in the optimization of healthcare services and patient outcomes. She is highly skilled in administrative and big data use, complex modelling techniques including machine learning, and health system level research. Jessalyn is an advocate for using data to make change in the healthcare system and profoundly believes that Data Saves Lives. 


Areas of Research

Healthcare delivery optimization, Prediction of Emergency Department resource utilization , Emergency Department throughput, Electronic medical record data , Supervised and unsupervised machine learning, Survival analysis & generalized linear models, Respiratory vaccinations and the prevention of cardiovascular events, Prehospital transportation of suspected stroke patients

Participation in university strategic initiatives


Course number Course title Semester
MDSC 407 Statistics and Research Design in Health Sciences Winter 2018-19, 2021-24
MDCH 611 Biostatistics II: Models for Health Outcomes Winter 2022-24
MDCH 610 Biostatistics I: Essentials of Biostatistics Fall 2020-22
DATA 621 Advanced Statistical Modelling Winter 2022


  • Postdoctoral Trainee of the Year, Hotchkiss Brain Institute. 2022
  • Leadership Excellence Award, Graduate Science Education. 2019
  • Excellence in Teaching Award, Graduate Students Association. 2019
  • International Stroke Conference Junior Investigator Award, American Stroke Association. 2018