Carlos' (they/them pronouns) goal is to address problems of social significance through computational methods and interdisciplinary research, and their current focus is on algorithmic fairness. Their background is web mining and information retrieval, and they have been influential in the areas of crisis informatics and web content quality and credibility. Carlos is a prolific, highly cited researcher who has received two test-of-time awards, five best paper awards, and two best student paper awards. Their works include a book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search. Carlos leads the Web Science and Social Computing research group at Universitat Pompeu Fabra, and coordinates the Horizon Europe FINDHR project on non-discrimination in algorithmic hiring.

Carlos' research focuses on algorithmic fairness. They work on the evaluation of decision support tools for risk assessment and on the evaluation of datasets for machine learning, from the perspective of intersectional non-discrimination.