My research activity has been mostly motivated by real problems arising in the analysis of high-throughput data by means of statistical and computational methods.
Past experience includes Wavalets and Denoising, Non-parametric regression, Functional data analysis, Multiple hypothesis testing and Clustering. To handle such problem I have considered either frequentist and Bayesian approaches.
More recently, my interest has been focused on the analysis of high-dimensional data problems arising from genomics. I have worked on a variety of problems in statistical genomics, including methods for analysis of microarray time course gene expression data, methods for the identification of transcription factor binding sites using variable selection approaches, and methods for analysis of Next Generation Sequencing Data. Current research activity includes applications to Epigenomics and Transcriptomics, High dimensional data analysis and software development.
Since January 2012 I am the leading the Laboratory of Statistics and Computational tools for Bioinformatics (BioinfoLab).
I am also a member of the Computational & Biology Open Laboratory (ComBOlab) and I participate to the Open Bioinformatics Laboratory (OBiLab) .