José Ramón Dorronsoro is a Doctor (Ph.D.) in Mathematics from Washington University in St Louis, USA, and a Doctor in Mathematical Sciences from the Complutense University of Madrid. He is currently Professor of Computer Science at the Escuela Politécnica Superior (EPS) of the UAM. Professor Dorronsoro has extensive teaching experience in undergraduate and graduate courses. His research covers both theoretical and innovation aspects. The theoretical work has recently focused on: optimization, particularly on the confluence of convex optimization (support vector machines, proximal methods, Nesterov acceleration) with Sparse problems such as Lasso, Total Variation and its group variants, learning deep networks, multitask learning or building SVMs; and manifold learning, an alternative to the sparse models where it is sought to identify a structure of low dimension in data of a sample of much larger dimension. His innovation work has focused in recent years on smart energy issues, particularly related to the prediction of renewable wind and solar energy. This work has resulted in more than 140 international publications in mathematical analysis, neural networks, machine learning and data science.