José María Manzano is Assistant Professor at the Department of Engineering in Universidad Loyola Andalucia, Spain. He received his MSc degree in Industrial Engineering and his PhD in Automation Engineering from the University of Seville in 2016 and 2020, respectively. He has carried out research in the Department of Systems and Automation of the University of Seville and was a visiting researcher at the University of Oxford in 2019. His research interests merge nonlinear model predictive control systems and data-based learning algorithms. He focuses on the study of the stability and robustness properties of systems whose models are inferred from observed data, using machine learning techniques.