Generative statistical models for RNA sequences The design of artificial biomolecules with given biological functions has become one of the main interests of biotechnology and bio-engineering in recent years. One of the goals in this field is the to improve natural molecules. Tha aim is to design artificial molecules that have the functionality of natural ones while being more stable/efficient/resistant. The recent advances in sequencing technology have significantly speeded up and increased the amount of biological data available. Now it is finally possible to apply data-driven approaches to address this issue. Generative models are tools in Machine or Statistical Learning used to generate artificial molecules that mimics the statistical features of natural ones, in the hope to also reproduce their biological functionality.