PhD in Complex Systems and a researcher at the Universidad Politécnica de Madrid. In his career he has accumulated extensive experience in projects related to Data Science. He made a research stay at the MIT Media Lab where his research focused on transforming the data into insights and stories. During he is PhD he analyzed online social networks, developing models to understand influence. He has applied this research in the industry, helping companies to monitor sentiment on social networks, and deployed viral marketing campaigns. Over the last years he has made significant advances in the area of financial machine learning. As a result he has deployed solutions for algorithmic cryptocurrency trading and a platform used by coops that predicts the evolution of the prices of fruits and vegetables He is the founder of AGrowingData, a start-up that develops Big Data solutions for the agri-food sector.