Philippe Broët , M.D. , Ph.D.
    Research Axis
    Immune Diseases and Cancer Axis
    Research Theme
    Cancers: mechanisms, new therapeutic approaches and disease outcomes
    CHUSJ - Centre de Recherche

    514 345-4931 7612


    • Full Professor, Department of Preventive and Social Medicine , École de santé publique, Université de Montréal
    • Researcher, CHU Sainte-Justine Research Center, 2017


    • 2000, PhD in Biostatistics, University Paris-Sud, France
    • 1995, MD Public Health specialist, University Paris-VI, France
    • 1994, MSc in Computing Sciences, University Paris-V, France
    • 1993, MSc in Public Health, University Paris-Sud, France
    • 1990, MD (University Paris VI ), Internat des Hôpitaux de Paris, France

    Research Topics

    • clinical genomic epidemiology
    • biostatistic
    • public health
    • Big Data
    • multifactorial diseases
    • pncology
    • predictive medicine

    Career Summary

    Philippe Broët is a clinical researcher at CHU Sainte-Justine. He is Professor of the University Paris Saclay and Hospital Practitioner at the Assistance Publique-Hôpitaux de Paris on leave. After his specialty internship, he completed his training with a doctorate in biostatistics. His areas of expertise are clinical epidemiology and clinical predictive medicine. His research focuses on the development of new analytical strategies adapted to genomic studies in multi-factorial diseases. These projects combine both methodological and clinical transfer components. He also teach at the University Paris-Sud / Paris-Saclay.

    Awards and Distinctions

    • 1996, Prix d’honneur du Haut comité médical de la sécurite sociale, Ministère français de la santé, France
    • 1995, Lauréat de la Faculté de médecine Paris VI, Faculté Paris VI, France
    • 1995, Gagnant du prix médical de l’Association des sociétés d’assurance pour la prévention en matière de santé, France


    • Genomic modeling for cancer survival prediction. 10th International Chinese Statistical Association (ICSA), Shanghai, China, Dec 19-22, 2016
    • Genomic and Big data, InVS workshop. Saint-Maurice, France, Dec 2015
    • Methodological approaches for personalized medicine, INSERM workshop 229. Bordeaux, France, May 2014
    • Combining predictive markers in oncogenomic. INSERM workshop 223. Bordeaux, France, May 2013
    • Summer Camp on Bioinformatics. Statistical Genomics for Medical Research. ISCB. Sibiu, Romania, Jul 2013
    • Clinical Genomic Epidemiology. Statistical Genomics for Medical Research. ISCB. Iasi, Romania, Sept 2012


    • Jonas, S. F., C. Mbogning, S. Hassler and P. Broet (2017). "A score test for comparing cross-sectional survival data with a fraction of non-susceptible patients and its application in clinical immunology." PLoS One 12(6): e0179896.
    • Mbogning, C. and P. Broet (2016). "Bagging survival tree procedure for variable selection and prediction in the presence of nonsusceptible patients." BMC Bioinformatics 17(1): 230.
    • Dalmasso, C., W. Carpentier, C. Guettier, S. Camilleri-Broet, W. V. Borelli, C. R. Campos Dos Santos, D. Castaing, J. C. Duclos-Vallee and P. Broet (2015). "Patterns of chromosomal copy-number alterations in intrahepatic cholangiocarcinoma." BMC Cancer 15: 126.
    • Mbogning, C., H. Perdry and P. Broet (2015). "A Bagged, Partially Linear, Tree-Based Regression Procedure for   Prediction and Variable Selection." Hum Hered 79(3-4): 182-193.
    • Mbogning, C., H. Perdry, W. Toussile and P. Broet (2014). "A novel tree-based procedure for deciphering the genomic spectrum of clinical disease entities." J Clin Bioinforma 4: 6.

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