Researcher

Title

• Associate 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

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

Career Summary

Philippe Broët is a clinical associate researcher at CHU Sainte-Justine. He is Professor of the University Paris Saclay and Hospital Practitioner at the Assistance Publique-Hôpitaux de Paris. 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

Presentations

• 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

Publications

• 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.