Post Docs


Brice Ozenne
Post Doc, Biostatistician
Dept. Neurology and Neurobiology Research Unit,
Copenhagen University Hospital, Rigshospitalet,
Building 6931,
Blegdamsvej 9, DK-2100 Copenhagen, Denmark
3545 6714

Curriculum vitae

Scientific interests:

I am interested in the development of Latent Variable Models for complex data, predictive models and dimension reduction methods. I am applying these methods on neuroscience data to investigate the relationship between the brain response and depression and in cardiovascular diseases to predict the risk of cardiovascular events.



2015 -  

Postdoctoral Fellow, University of Copenhagen, Section of Biostatistics, Copenhagen. In collaboration with the Neurobiology Research Unit, Rigshospitalet Copenhagen. Work area: Latent variable models for neuro-imaging data predictive modelling

2012 - 2015

PhD in Biostatistics, University Lyon 1, Lyon, France. Thesis title: “Statistical modelling for the prognosis of stroke patients”

2011 - 2012

Master’s degree in Biostatistics, University Lyon 1, Lyon, France

Research intership: “Statistical analysis of reperfusion MRI data of stroke patients” (Department of Biostatistics, Hospices Civils de Lyon, Lyon, France)

2009 - 2012

Engineering Diploma from the École Centrale de Lyon, Lyon, France

2007 - 2009

Classes Préparatoires at Lycée Chateaubriand, Rennes, France


Baccalauréat (French equivalent of the 'A' levels) at Lycée Robert de Mortain, Mortain, France


  • Ozenne B, Subtil F, Østergaard L, Maucort-Boulch D. Spatially regularized mixture model for lesion segmentation with application to stroke patients. Biostatistics. 2015;16(3):580-95. 
  • Ozenne B, Subtil F, Maucort-Boulch D. The precision-recall curve overcame the optimism of the receiver operating characteristic curve in rare diseases. Journal of Clinical Epidemiology. 2015;68(8):855-9.
  • Ozenne B, Cho TH, Mikkelsen IK, Hermier M, Ribe L, Thomalla G, Pedraza S, Baron JC, Roy P, Berthezène Y, Nighoghossian N, Østergaard L, Maucort-Boulch D. Evaluation of early reperfusion criteria in acute ischemic stroke. Journal of Neuroimaging. 2015;25(6):925-8.
  • Hermitte L, Cho TH, Ozenne B, Nighoghossian N, Mikkelsen IK, Ribe L, Baron JC, Østergaard L, Derex L, Hjort N, Fiehler J, Pedraza S, Hermier M, Maucort-Boulch D, Berthezène Y. Very low cerebral blood volume predicts parenchymal hematoma in acute ischemic stroke. Stroke. 2013;44(8):2318-20.