Anne Bernard

Equipe MSDMA
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 Anne joined the QFAB team in early 2014 as a senior biostatistician to provide research and clinical biostatistics competencies. During her PhD, Anne has collaborated with dermatologists and biologists from the CERIES(*) to identify genes, and more specifically SNPs or SNP-SNP interactions, potentially involved in skin aging. The new statistical methods developed by Anne are particularly suited to select relevant information in large datasets.

Anne is currently working with French and American statisticians to further develop variable selection techniques using sparse methods for the analysis of high-dimensional genomic data. She also has a keen interest in dimensionality reduction in the context of exploratory analysis.

Anne is a member of the French Statistical Society (“Société Française de Statistique” – SFdS).

(*) The CERIES is an independent research foundation established by Chanel in 1991 to provide a scientific foundation to the development of skin care products.

Established in 2007 in Brisbane, QFAB (Queensland Facility for Advanced Bioinformatics) focuses on delivering robust, high quality and relevant bioinformatics services for life science researchers to analyse and manage large-scale datasets.

thèse CIFRE.

Sujet : Développement de méthodes statistiques et informatiques nécessaires à l'analyse de données génomiques : application à l'influence du polymorphisme génétique sur les caractéristiques cutanées individuelles et l'expression du vieillissement cutané en tenant compte de facteurs d'intérêt.

Méthodes sparses, approche multiblocs ...