photo of Jessalyn

Dr. Jessalyn K. Holodinsky

PhD
Pronouns: she/her

Positions

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

Director, Artificial Intelligence & Data Education and Ethics

Office of Faculty Development

Affiliations

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

Email

jessalyn.holodinsky@ucalgary.ca

Web presence

Google Scholar

Location

Office: CWPH5E36

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Kelly Johnston
Senior Communications Specialist

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Background

Credentials

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

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

Educational Background

Postdoctoral Fellowship Epidemiology, University of Calgary,

Postdoctoral Fellowship Machine Learning for Health Outcome Prediction, Sunnybrook Research Institute / ICES,

PhD Epidemiology, University of Calgary,

MSc Health Services Research, University of Calgary,

Biography

Dr. Jessalyn Holodinsky is an Assistant Professor (Data Science) in the Department of Emergency Medicine, with a cross-appointments to the Departments of Community Health Sciences and Clinical Neurosciences. 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 also trained in 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. 

Jessalyn’s research focuses on the utilization and optimization of resources in the emergency department. 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. 

Jessalyn is also the Director, Artificial Intelligence & Data, Education and Ethics for the Office of Faculty Development. She has over a decade of experience in university-level teaching and learning, predominantly teaching statistics and machine learning. She prides herself in making statistics both accessible and fun (yes, it is possible!). In her role at OFD Jessalyn works to increase data and AI literacy across CSM faculty members. 

Research

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

Brain and mental health

Child health and wellness

Courses

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 2022-25
MDCH 610 Biostatistics I: Essentials of Biostatistics Fall 2020-22, 24
DATA 621 Advanced Statistical Modelling Winter 2022

Awards

  • 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

Publications

Google Scholar

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