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Markel Vigo is a Reader in Computer Science at the University of Manchester, specializing in Human-Computer Systems. His research focuses on usable decision-making in data-intensive environments, particularly in healthcare settings. By utilizing mixed methods, he investigates human behavior while interacting with systems, and aims to leverage human-centered methodologies to inform computational user models. His current projects include the implementation of Explainable AI (XAI) to support critical decision-making in Intensive Care Units (ICU) and the development of health tracking applications and clinical dashboards. Markel is also engaged in exploring how AI can enhance workplace learning opportunities and performance. He has made contributions to the UN Sustainable Development Goals and aims to improve user engagement and knowledge acquisition in interactive dashboards. Markel has received several research awards and has been involved in various editorial responsibilities for academic journals.
University of Manchester • Manchester, UK
Conducting research and teaching in Human-Computer Systems and decision-making.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.