Oriol Pujol is tenured associate professor in Computer Science and Artificial Intelligence at the department of Matemàtiques i Informàtica at Universitat de Barcelona. In 2004 he received the Ph.D. in Computer Science at the UAB with a work in deformable models, fusion of supervised and unsupervised learning and intravascular ultrasound medical image analysis. In 2005 he joined the Dept. of Matemàtica Aplicada i Anàlisi at Universitat de Barcelona (UB) where he became tenured associate professor. He has published more than one hundred and fifty articles in machine learning, computer vision, and their applications. He has more than twenty years in knowledge transference in data analysis projects is fields such as finance, health, marketing, wearable sensors, among others. His current research interests involve the study of methods and techniques for machine learning algorithm accountability and risks mitigation, uncertainty evaluation of machine learning models, and prescriptive analytics using causal and counterfactual methods. He is particularly interested in human decision making and its transposition to artificial intelligence.