The seminar will provide an overview of viral genomics, addressing inherent challenges and contemporary methodologies. Focusing on Influenza, the speaker will explore how genomic data analysis can help monitor viral evolution and highlight patterns. Specifically, he will examine the application of codon bias, machine learning and statistical methods to decipher viral dynamics and develop a warning system capable of detecting local spillovers that can be used to guide public health interventions.