Christopher Sun
- Location
- DMS 6104
- Telephone
- 613-562-5800 x 4570
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Biography
Christopher Sun is an Assistant Professor the University of Ottawa Telfer School of Management and a Scientist at the University of Ottawa Heart Institute. His research interests lie at the intersection of optimization, artificial intelligence, public health, and health equity. His research primarily revolves around utilizing data-driven optimization, machine learning, and simulation techniques to inform the design of healthcare systems and development of public health policies. He has conducted his research in collaboration with multiple health institutes including Massachusetts General Hospital (Boston, USA), Boston Emergency Medical Services (Boston, USA), Israel National Emergency Medical Services (Magen David Adom; Israel), St. Michael’s Hospital (Toronto, Canada), and Gentofte Hospital (Copenhagen, Denmark). He received his BASc in Engineering Science (Biomedical Engineering) and PhD in Industrial Engineering from the University of Toronto. He was also a Postdoctoral Fellow and Visiting Assistant Professor at the Massachusetts Institute of Technology’s Sloan School of Management.
Professor Sun has published in leading journals, including the Journal of the American College of Cardiology, Circulation, Health Affairs, and Journal of the American Medical Directors Association. He is a recipient of a CIHR Vanier Canada Graduate Scholarship and an American Heart Association Young Investigator Award as well as has been named to the Citizen CPR Foundation’s 40 Under 40 List (Class of 2021). His research has also been covered by the New York Times, Globe and Mail, Toronto Star, Huffington Post, CTV, and Reuters.
Professor Sun is currently accepting motivated research students at all levels (Undergraduate, Master's, PhD). Prospective students are welcome to express their interest by contacting him with a CV and transcript.
Publications during the last 7 years
Papers in Refereed Journals
- Sun, C.L.F., Thériault-Lauzier, P. 2026. Artificial Intelligence and Technology in Cardiac Disease. Canadian Journal of Cardiology, 42(5 Supplement): S111-S114.
- Bogner, E., Har, B., Li, B., Southern, D.A., Sun, C.L.F., Welsh, R.C., Tyrrell, B., Murphy, C.J., Puri, A., Lee, J. 2026. Comprehensive Machine Learning-Enabled Outcome Prediction for Patients with Coronary Artery Disease Using Multicentre Patient Data. Canadian Journal of Cardiology, 42(6): 1384-1396.
- Mullie, T., Puri, A., Bogner, E., Har, B., Murphy, C.J., Welsh, R.C., Tyrrell, B., Sun, C.L.F., Lee, J. 2026. Health Economic Simulation Modeling of an AI-Enabled Clinical Decision Support System for Coronary Revascularization. npj Digital Medicine, 9: 249.
- He, F., Huang, S., Wang, R., Chang, A., Phillips, J.L., Sun, C.L.F. 2026. Machine Learning for Comparative Antidepressant Selection in Major Depressive Disorder: Systematic Review. JMIR Mental Health, 13: e89352.
- Sun, C.L.F. 2025. Breaking Barriers in Cardiovascular and Cancer Care with Multimodal AI. JACC: Advances, 4(1): 101433.
- Sun, C.L.F., Copenhaver, M.S., Zenteno Langle, A.C., Viscomi, B., Raeke, E., Daily, B.J., Dunn, P., Levi, R. 2025. Improved Intrahospital Transport Time via Proximity-Based Staff Assignments. Journal of the American Medical Informatics Association, 32(8): 1255-1266.
- Moosavi, A., Huang, S., Vahabi, M., Motamedivafa, B., Tian, N., Mahmood, R., Liu, P., Sun, C.L.F. 2024. Prospective Human Validation of Artificial Intelligence Interventions in Cardiology: A Scoping Review. Journal of the American College of Cardiology, 3(9): 101202.
- Sun, C.L.F., Jaffe, E., Levi, R. 2022. Increased emergency cardiovascular events among under-40 population in Israel during vaccine rollout and third COVID-19 wave. Scientific Reports, 12(1): 1-12.
- Sun, C.L.F., Li, D., Zenteno, A.C., Bravard, M.A., Carolan, P., Daily, B., Elamin, S., Ha, J., Moore, A., Safavi, K., Yun, B.J., Dunn, P., Levi, R., Ritcher, J.M. 2022. Low-Volume Bowel Preparation Is Associated with Reduced Time to Colonoscopy in Hospitalized Patients: A Propensity-Matched Analysis. Clinical and Translational Gastroenterology, 13(7): e00482.
- Sun, C.L.F., Dyer, S., Salvia, J., Segal, L., Levi, R. 2021. Evidence of worse outcomes related to out-of- hospital cardiac arrest during the COVID-19 pandemic due to patient reluctance to seek care. Health Affairs, 40(6).
- Karlsson, L., Sun, C.L.F., Torp-Pedersen, C., Wodschow, K., Ersbøll, A.K., Wissenberg, M., Hansen, C.M., Morrison, L., Chan, T.C.Y., Folke, F. 2021. Implications for cardiac arrest coverage using straight- line versus route distance to nearest automated external defibrillator. Resuscitation, 167: 326-335.
- Stoesser, C.E., Boutilier, J.J., Sun, C.L.F., Brooks, S.C., Cheskes, S., Dainty, K.N., Feldman, M., Ko, D., Lin, S., Morrison, L., Scales, D.C., Chan, T.C.Y. 2021. Moderating effects of out-of-hospital cardiac arrest characteristics on the association between EMS response time and survival. Resuscitation, 169: 31-38.
- Sun, C.L.F., Karlsson, L., Morrison, L.J., Brooks, S.C., Folke, F., Chan, T.C.Y. 2020. Effect of optimized versus guidelines-based automated external defibrillator placement on out-of-hospital cardiac arrest coverage: An in silico trial. Journal of the American Heart Association, 9(17).
- Karlsson, L., Hansen, C.M., Vourakis, C., Sun, C.L.F., Rajan, S., Søndergaard, K.B., Andelius, L., Lippert, F., Gislason, G.H., Chan, T.C.Y. 2020. Improving bystander defibrillation in out-of-hospital cardiac arrests at home. European Heart Journal: Acute Cardiovascular Care, 9(4): S74-S81.
- Leung, B.K.H., Sun, C.L.F., Yang, M., Allan, K.S., Wong, N., Chan, T.C.Y. 2020. Optimal in-hospital defibrillator placement. Resuscitation, 151: 91-98.
- Sun, C.L.F., Zuccarelli, E., Zerhouni, E.A., Lee, J., Muller. J., Scott, K.M., Lujan, A.M., Levi, R. 2020. Predicting COVID-19 infection risk and related risk drivers in nursing homes: A machine learning approach. Journal of the American Medical Directors Association, 21(11): 1533-1538.e6.
- Sun, C.L.F., Karlsson, L., Torp-Pedersen, C., Morrison, L.J., Brooks, S.C., Folke, F., Chan, T.C.Y. 2019. In Silico Trial of Optimized Versus Actual Public Defibrillator Locations. Journal of the American College of Cardiology, 74(12): 1557-1567.
Chapters in Books
- Chan, T.C.Y., Sun, C.L.F. Optimizing defibrillator Deployment. In Suen, S., Schiereck, D., Enns, E. Artificial Intelligence for Healthcare. Cambridge, United Kingdom: Cambridge University Press, 2022.
Funded Research during the last 7 years
| From-To | Source | Title | Purpose | Type | Role | Amount |
|---|---|---|---|---|---|---|
| 2026-2028 | The Ottawa Hospital Academic Medical Organization (TOHAMO) | Risk-Stratification of Emergency Department patients with Chest Pain using Natural Language Processing and Machine Learning | R | F | Co-I | $132,602 |
| 2026-2028 | The Ottawa Hospital Academic Medical Organization (TOHAMO) | Evaluating the Individual and System Level Impact of a Novel Physician-in-Triage (PIT) Model on Emergency Department Outcomes | R | F | Co-PI | $131,860 |
| 2026-2028 | The Ottawa Hospital Academic Medical Organization (TOHAMO) | Diagnosing Occlusive Myocardial Infarction (OMI) in the Emergency Department using Artificial Intelligence | R | F | Co-PI | $132,599 |
| 2025-2030 | CIHR Project Grant | Actionable Incidental Extracardiac Findings Detection via Interactive Artificial Intelligence | R | C | PI | $1,365,526 |
| 2025-2027 | University of Calgary, Michael & Terry Wilson Cardiovascular Research Innovation Fund, Libin Cardiovascular Institute | Machine learning-enabled automated coronary angiogram analysis and outcome prediction in patients with coronary artery disease | R | O | Co-I | $250,000 |
| 2025-2027 | AFP Innovation Grant | Improving Access and Personalization in Outpatient Mental Health Care Through Data-Driven Pathway Design | R | O | Co-I | $174,000 |
| 2025-2026 | Impact Grant - CFREF: Brain-Heart Interconnectome | Longitudinal Assessment of Early Neuro and Cardio-Thoracic BiomarkERs in ChiNese Canadian Cohort (LANTERN Study) | R | O | Co-I | $100,000 |
| 2025-2025 | Canada First Research Excellence Fund (CFREF): uOttawa's Brain-Heart Interconnectome | AI-Based ECG Predictions for Early Detection of Mental and Neurological Disorders | R | F | PI | $25,000 |
| 2024-2029 | NSERC - Discovery Grants Program | Fairness in Systems with Human-Algorithm Decision Making through Optimization and Machine Learning | R | C | PI | $215,000 |
| 2024-2029 | CFI - John R. Evans Leaders Fund; Ontario Research Fund | Developing, Implementing, and Evaluating Advanced Artificial Intelligence Models for Health Systems | E | G | PI | $528,872 |
| 2024-2029 | CIHR Project Grant | Artificial Intelligence Supported In-Hospital Cardiac Arrest Prediction, Prevention, and Management | R | C | PI | $1,450,725 |
| 2024-2027 | MITACS Accelerate | Provider Personalized Operating Room Scheduling via Artificial Intelligence and Optimization Modeling | R | O | PI | $165,000 |
| 2024-2026 | MITACS Accelerate | Artificial-Intelligence-Supported In-Hospital Cardiac Arrest Prediction, Prevention, and Management | R | O | PI | $120,000 |
| 2024-2025 | CIHR Project Grant | Dapagliflozin for Long COVID Syndrome | R | C | Co-I | $100,000 |
| 2024-2024 | NSERC - Discovery Launch Supplement | Fairness in Systems with Human-Algorithm Decision Making through Optimization and Machine Learning | R | C | PI | $12,500 |
| 2024-2024 | J.P. Bickell Foundation Medical Research Grant | Artificial Intelligence Supported In-Hospital Cardiac Arrest Prediction, Prevention, and Management | R | F | PI | $80,000 |
| 2023-2028 | Tier 2 Canada Research Chair, Canada Research Chairs Program | Data Analytics for Health Systems Transformation | R | G | PI | $600,000 |
| 2023-2024 | ORACLE Precision Medicine Funding Opportunity Precision Medicine Funding Program | Artificial Intelligence Supported In-hospital Cardiac Arrest Prediction | R | F | PI | $50,000 |
| 2022-2024 | University of Ottawa | SEED Funding Opportunity | R | I | PI | $10,000 |
| 2022-2024 | Telfer School of Management | School of Management Research Grant | R | I | PI | $10,000 |
LEGEND:
Purpose
C: Contract (R and D) | E: Equipment Grant | R: Research Grant | S: Support Award | P: Pedagogical Grant | O: Other, U: Unknown
Type
C: Granting Councils | G: Government | F: Foundations | I: UO Internal Funding | O: Other | U: Unknown
Role
PI = Principal Investigator | Co-I = Co-Investigator | Co-PI = Co-Principal Investigator
