Dr. Andrea Rau is a research scientist at the French National Institute for Agronomical Research (INRA) in the Animal Genetics and Integrative Biology research unit. She received her Ph.D. in 2010 from Purdue University for the development of statistical methods to infer gene regulatory networks from time-course microarray data. Following that, she did a one-year post-doctoral fellowship in the Model Selection and Statistical Learning (Select) team at Inria Saclay – Île-de-France, with a focus on clustering RNA-seq data to identify groups of co-expressed genes. She was recruited as a researcher at INRA in the Animal Genetics department in 2011. In 2017-2019, she was awarded an AgreenSkills+ mobility fellowship at the Zilber School of Public Health at the University of Wisconsin-Milwaukee. Today, Dr. Rau’s research interests focus on the development of appropriate statistical methodology for the analysis of high-dimensional genomic and transcriptomic data and the integrative analysis of multi-omic data. She is an active user and developer of the R programming language and has co-developed seven R packages and one Shiny application. Dr. Rau enjoys training students, and has taught courses on the statistical analysis of ‘omics data at a variety of levels, from Master’s level students to fellow researchers.
Research topics : Transcriptomics, genomics, co-expression, network inference, integrative multi-omics, R software packages.