Davide’s research interest is at the crossroads of Infection Biology and High-Throughput Imaging of Salmonella Typhimurium.

Although extensively studied, with tens of virulence factors unveiled, the intricate processes leading to infection by Salmonella have not been fully elucidated yet. Particularly, recent works have unveiled a level of complexity that requires the development of novel, imaging-based approaches. Davide is currently working on developing InFluence, a high-throughput, fluorescence imaging-based method to track in vitro infection over time, providing estimates of infection rates and information on intracellular growth. During his PhD he has also collaborated with the group of Annalisa Marsico to develop and validate TriPepSVM , a machine learning approach for predicting RNA-binding proteins (RBPs) based on short amino acid motifs that are enriched in previously annotated RBPs.