Guido Ascenso holds a PhD in Applied Deep Learning from Manchester Metropolitan University, UK. His main research interest is AI-based computer vision, specifically the development and application of image-to-image methods. The main focus of his current research is the use of such methods to study various extreme climate events (such as tropical cyclones and droughts) and the relationship between Arctic ice and large-scale climate patterns. He has worked within several research projects, from small, national ones (MELTED), to large, international ones (SOS-Water, CLINT).