Christopher Sun
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- DMS 6104
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- 613-562-5800 x 4570
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Biographie
Christopher Sun est professeur adjoint à l’École de gestion Telfer de l’Université d’Ottawa et scientifique à l’Institut de cardiologie de l’Université d’Ottawa. Ses champs de recherche se situent à l’intersection de l’optimisation, de l’intelligence artificielle, de la santé publique et de l’équité en santé. Ses travaux portent principalement sur l’utilisation de l’optimisation par les données, de l’apprentissage machine et des techniques de simulation pour éclairer la conception des systèmes de santé et l’élaboration de politiques de santé publique. Il a collaboré avec de nombreux instituts de santé, dont l’Hôpital général du Massachusetts (Boston, É.-U.), les Services médicaux d’urgence de Boston (Boston, É.-U.), les Services médicaux d’urgence nationaux d’Israël (Magen David Adom, Israël), l’Hôpital St. Michael’s (Toronto, Canada) et l’Hôpital Gentofte (Copenhague, Danemark). Il détient un baccalauréat en sciences du génie avec spécialisation en génie biomédical ainsi qu’un doctorat en génie industriel de l’Université de Toronto. Il a également été chercheur boursier de niveau postdoctoral et professeur adjoint invité à l’École de gestion Sloan du Massachusetts Institute of Technology.
Le professeur Sun a publié dans des revues éminentes comme le Journal of the American College of Cardiology, Circulation, Health Affairs et le Journal of the American Medical Directors Association. Titulaire d’une Bourse d’études supérieures du Canada Vanier des Instituts de recherche en santé du Canada et du Prix du jeune chercheur de l’American Heart Association, il a par ailleurs été nommé au palmarès 2021 des 40 figures héroïques de moins de 40 ans de la Citizen CPR Foundation. Ses recherches ont été mentionnées dans le New York Times, le Globe and Mail/em>, le Toronto Star, le Huffington Post, à CTV et par Reuters.
Le professeur Sun accepte actuellement des étudiantes et étudiants chercheurs motivés de tous les cycles d’études (premier cycle, maîtrise, doctorat). Les personnes intéressées peuvent lui faire parvenir leur curriculum vitæ et leur relevé de notes.
Publications au cours des 7 dernières années
Articles publiés dans des revues avec comité de lecture
- 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.
Chapitres de livres
- 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.
Recherche subventionnée au cours des 7 dernières années
| De-À | Source | Titre | But | Genre | Rôle | Montant |
|---|---|---|---|---|---|---|
| 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 | Université d'Ottawa | SEED Funding Opportunity | R | I | PI | 10 000 $ |
| 2022-2024 | École de gestion Telfer | School of Management Research Grant | R | I | PI | 10 000 $ |
LÉGENDE :
But
C: Contrat de recherche | E: Subvention d'équipement | R : Subvention de recherche | S : Fonds de soutien | P : Subvention pédagogique | O : Autre | U : Inconnu
Genre
C : Conseils subventionnaires | G : Gouvernements | F : Fondations | I : Financement interne UO | O : Autre | U : Inconnu
Rôle
PI = Chercheur(e) principal(e) | Co-I = Co-chercheur(e) | Co-PI = Co-Chercheur(e) principal(e)
