Rabie Saidi is a Lead Data Scientist in the UniProt team. He conducts research and development in the intersection of data mining, big data, machine learning and bioinformatics. He is responsible for adapting and creating new technologies for descriptive and predictive purposes for protein data analytics. His main activities are centred on smart data-driven solutions for the annotation of proteins in UniProtKB/TrEMBL. Rabie’s academic background is in machine learning and data mining and he holds a PhD in Computer Science from Blaise Pascal University.