This hands-on workshop will introduce users of the R software environment to the techniques involved in generating reproducible, dynamic data analyses and reports. Using literate programming approaches, participants will learn to build automated reusable reports in R.
Dr Anne Bernard
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.
- High-dimensional genomic data analysis
- Development of sparse methods for dimensionality reduction and variable selection
- Statistical approaches to analyse SNPs data
- Multi-blocks data analysis
- PhD in statistics, Conservatoire National des Arts et Métiers and CERIES(*), France, 2013
- MSc, University of Bordeaux II, France, 2010