I am a Senior Research Associate at the University of Cambridge working in computational biology, in particular proteomics, i.e. the high-throughput and systematic analysis of proteins (their identification, quantitation, modifications and localisation in cells). I am particularly interested in the development of sound computational methods to facilitate reproducible research and uncover meaningful patterns in complex biological data. As such, a lot of my work materialises in software and in particular in R software and data packages. Each new data set, algorithm, pipeline or computational experiment is implement into a well-documented and tested package (as opposed to loosely [de-]coupled scripts) or literate programming documents and managed through local or remote public or private git repositories (see https://github.com/lgatto/). An important aspect of the dissemination of my work is to promote high quality and open source scientific software in a community that often favours black-box approaches.