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Justin Boutilier

Justin Boutilier
Professeur adjoint
Bachelor of Science (with Honours) (Acadia University), Doctor of Philosophy (University of Toronto)
Pièce
DMS 6149
Téléphone
613-562-5800 x 1640
Courriel
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Biographie

Professeur adjoint à l’École de gestion Telfer, Justin Boutilier s’intéresse à la création et à l’application d’outils analytiques exploitables pour répondre à des enjeux dans la sphère de la santé ou de nature humanitaire. Ses travaux se situent au carrefour des analyses prédictives et prescriptives, qu’il applique à différents contextes. Comme le potentiel de retombées concrètes est y particulièrement élevé, ses projets portent en grande partie sur les domaines de la santé globale et planétaire; ce sont aussi des champs qui appellent à l’élaboration de théories nouvelles alliant optimisation et apprentissage machine dans une optique de résolution des problèmes.

La recherche du professeur Boutilier a été saluée par l’Institute for Operations Research and the Management Sciences (INFORMS); il a obtenu le deuxième prix Pierskalla pour le meilleur article en 2020 (pour lequel il a aussi été finaliste en 2021 et 2022) et reçu une mention honorable en 2021 pour sa participation au concours d’articles « Doing Good with Good OR ». En 2017, pendant ses études doctorales, il s’est vu décerner la bourse Seth-Bonder pour la recherche opérationnelle appliquée en services de santé (2017).

Le professeur Boutilier détient un B.Sc. en mathématiques et statistique de l’Université Acadia et un doctorat en recherche opérationnelle de l’Université de Toronto; il a également mené des recherches postdoctorales au Humanitarian Supply Chain Lab et au Center for Transportation and Logistics du MIT. Avant de se joindre à l’École Telfer, il était professeur adjoint au Département de génie industriel et des systèmes à l’Université du Wisconsin-Madison.

Domaines de recherche
Domaines d’enseignement
Piliers

Publications au cours des 7 dernières années

Articles publiés dans des revues avec comité de lecture

  • Adams, K.B., Boutilier, J.J., Deo, S., Mintz, Y. Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization. Operations Research.
  • Chappell, T.L., Pflaster, E.G., Namata, R., Bell, J., Miller, L.H., Pomputius, W.F., Boutilier, J.J., Messinger, Y.H. Bloodstream Infections in Childhood Acute Myeloid Leukemia and Machine Learning Models – A Single Institution Analysis. Journal of Pediatric Hematology/Oncology, 47(1): 26-33.
  • Maaz, M., Leung, B.K.H., Boutilier, J.J., Suen, S., Dorian, P., Morrison, L.J., Scales, D.C., Cheskes, S., Chan, T.C.Y. Cost-effectiveness of drone-delivered automated external defibrillators for cardiac arrest. Annals of Internal Medicine, 209(April 2025): 110552.
  • Baek, J., Boutilier, J.J., Farias, V.F., Jónasson, J.O., Yoeli, E. Policy Optimization for Personalized Interventions in Behavioral Health. Manufacturing and Service Operations Management, 27(3): 770-788.
  • Acosta-Perez. F.A., Boutilier, J.J., Zayas-Cabán, G., Adelaine, S., Liao, F., Patterson, B. Towards Real Time Discharge Volume Predictions in Multisite Healthcare Systems: Longitudinal Observational Study. Journal of Medical Internet Research, 27: e63765.
  • Jolliff, A., Fields, B., Boutilier, J.J., Dudek, A., Elliott, C., Zuraw, M., Werner, N.E. Care Partner Confidence and Experiences in Legal Planning for People Living with Dementia: A Mixed Methods Study. The Gerontologist, 64(7): gnad153.
  • Brice, S.N., Boutilier, J.J., Palmer, G., Harper, P.R., Knight, V., Tuson, M., Gartner, D. Close-Up on Ambulance Service Estimation in Indonesia: Monte Carlo Simulation Study. Interactive Journal of Medical Research, 13(1): e54240.
  • Jolliff, A., Fields, B., Boutilier, J.J., Dudek, A., Elliott, C., Zuraw, M., Werner, N.E. Exploring confidence in financial planning topics among care partners of persons living with dementia. Dementia, 23(8): 1307-1326.
  • Rana, S., Russell, T., Boutilier, J.J., Goentzel, J. Modeling Operational Flow Capacity and Evaluating Disaster Interventions for Fuel Distribution. Production and Operations Management, 33(3): 682-700.
  • Boutilier, J.J., Michini, C., Zhou, Z. Optimal Multivariate Decision Trees. Constraints, 28: 549–577.
  • Pickett, A.C., Valdez, D., White, L.A., Loganathar, P., Linden, A., Boutilier, J.J., Caldwell, C., Elliott, C., Zuraw, M., Werner, N.E. The CareVirtue Digital Journal for Family and Friend Caregivers of People Living With Alzheimer Disease and Related Dementias: Exploratory Topic Modeling and User Engagement Study. JMIR Aging, 7: e67992.
  • Liu, Y., Yu, M., LaMantia, J.N., Lobo, J.M., Boutilier, J.J., Brennan, M.B. Associations between specialty care and improved outcomes among patients with diabetic foot ulcers. PLOS ONE, 18(12): e0294813.
  • Boutilier, J.J., Loganathar, P., Linden, A., Scheer, E., Noejovich, S., Elliott, C., Zuraw, M., Werner, N.E. A Web-Based Platform (CareVirtue) to Support Caregivers of People Living With Alzheimer Disease and Related Dementias: Mixed Methods Feasibility Study. JMIR Aging, 5(3): e36975.
  • Boutilier, J.J., Yoeli, E., Rathauser, J., Owiti, P., Subbaraman, R., Jónasson, J.O. Can digital adherence technologies reduce inequity in tuberculosis treatment success? Evidence from a randomized controlled trial in Nairobi, Kenya. BMJ Global Health, 7(12): e010512.
  • Boutilier, J.J., Chan, T.C.Y. Drone network design for cardiac arrest response. Manufacturing and Service Operations Management, 24(5): 2387-2796.
  • Brice, S.N., Boutilier, J.J., Gartner, D., Harper, P., Knight, V., Lloyd, J., Pusponegoro, A.D., Rini, A.P., Turnbull-Ross, J., Tuson, M. Emergency services utilization in Jakarta, Indonesia: A cross-sectional study of patients attending hospital emergency departments. BMC Health Services Research, 22(1): 639.
  • Smith, A.J., Patterson, B.W., Pulia, M.S., Mayer, J., Schwei, .R.J., Nagarajan, R., Liao, F., Boutilier, J.J. Multisite Evaluation of Prediction Models for Emergency Department Crowding Before and During the COVID-19 Pandemic. Journal of the American Medical Informatics Association, 30(2): 292–300.
  • Sun, Y., Kaur, R., Gupta, S., Paul, R., Das, R., Cho, S.J., Anand, S., Boutilier, J.J., Saria, S., Palma, J., Saluja, S., McAdams, R.M., Kaur, A., Yadav, G., Singh, H. Development and Validation of High Definition Phenotype (HDP) based mortality prediction in critical care units. Journal of the American Medical Informatics Association, 4(1).
  • Boutilier, J.J., Jónasson, J.O., Yoeli, E. Improving TB Treatment Adherence Support: The Case for Targeted Behavioral Interventions. Manufacturing and Service Operations Management, 24(6): 2797-3306.
  • Boutilier, J.J., Chan, T.C.Y. Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course. INFORMS Transactions on Education, 23(2): 57-135.
  • Singh, H., Kusuda, S., McAdams, R.M., Gupta, S., Kalra, J., Kaur, R., Das, R., Anand, S., Pandey, A.K., Cho, S.J., Saluja, S., Boutilier, J.J., Saria, S., Palma, J., Kaur, A., Yadav, G., Sun, Y. Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study. Children, 8(1).
  • 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. Moderating effects of out-of-hospital cardiac arrest characteristics on the association between EMS response time and survival. Resuscitation, 169: 31-38.
  • Lee, Y., Mansur, R.B., Brietzke, E., Kapogiannis, D., Delgado-Peraza, F., Boutilier, J.J., Chan, T.C.Y., Carmona, N.E., Rosenblat, J.D., Lee, J.G., Maletic, V., Vinberg, M., Suppes, T., Goldstein, B.I., Ravindran, A.V., Taylor, V.H., Chawla, S., Nogueras-Ortiz, C., Cosgrove, V.E., Kramer, N.E., Ho. R,, Raison, C.A., McIntyre, R.S. Peripheral inflammatory biomarkers define biotypes of bipolar depression. Molecular Psychiatry, 26: 3395–3406.
  • Boutilier, J.J., Chan, T.C.Y., Ranjan, M., Deo, S. Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis. Journal of Medical Internet Research, 23(1).
  • Alcock, R., Boutilier, J.J., Siddiq, A. Shield-Net: Matching Supply with Demand for Face Shields During the COVID-19 Pandemic. INFORMS Journal of Applied Analytics, 52(6): 471-582.
  • Boutilier, J.J., Chan, T.C.Y. Ambulance Emergency Response Optimization in Developing Countries. Operations Research, 68(5): 1285-1624.

Chapitres de livres

  • Stratman, E.G., Boutilier, J.J., Albert, L.A. Uncertainty in Facility Location Models for Emergency Medical Services. In Eiselt, H.A., Marianov, V. Uncertainty in Facility Location Problems. Springer, 2023.

Contributions sur invitation et/ou rapports techniques

  • Russell, T., Boutilier, J.J., Kleinmann, S., Goentzel, J.. 2020. "Actionable Analysis: Simulating and Visualizing Fuel Distribution During Disasters".
  • Boutilier, J.J., Windle, M., Goentzel, J.. 2019. "Disaster Supply Chains: From Situational Awareness to Actionable Analysis".

Recherche subventionnée au cours des 7 dernières années

Recherche subventionnée au cours des 7 dernières années
De-À Source Titre But Genre Rôle Montant
2026-2030 Institut du Savoir Montfort Improving Access and Personalization in Outpatient Mental Health Care Through Data-Driven Pathway Design R F Co-PI 174 963 $
2026-2030 CRSH From Surviving to Thriving: Responsible AI for Resource-Constrained Sport Organizations R C Co-I 295 000 $
2025-2030 Institut du Savoir Montfort Improving Access and Personalization in Outpatient Mental Health Care Through Data-Driven Pathway Design R F PI 875 000 $
2025-2030 CRSNG Actionable Analytics for Personalizing Behavioural Health Interventions R C PI 277 500 $
2024-2026 École de gestion Telfer Start-up grant O I PI 40 000 $
2024-2025 University of Ottawa (SEED Funding Opportunity) Personalizing tuberculosis treatment adherence support via actionable analytics R I PI 20 000 $
2022-2024 National Institutes of Health R44 SBIR: Design, development, and validation of an AI- enabled legal planning and financial management training tool for ADRD caregivers R O Co-I 221 922 $
2021-2022 National Institutes of Health R43 SBIR: Design, development, and validation of an AI- enabled legal planning and financial management training tool for ADRD caregivers R O Co-I 26 971 $
2020-2022 National Institutes of Health R41 STTR: Development of a Caregiver Application and AI- Enabled Intelligent Assistant to Support Families and Formal Care Providers in Caring for Persons with Alzheimer's Disease and Related Dementias R O Co-I 23 962 $
2020-2021 National Science Foundation RAPID: An Online Matching Platform for Coordinating Supply and Demand for Medical Equipment During the COVID-19 Pandemic R F PI 100 000 $

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)

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