Rio has a multidisciplinary background grounded in strong computing training and extensive experience in computational social science. He holds a master’s degree in computing and a doctoral degree in communication, and has worked in several research-focused roles supporting scholars in developing computational solutions for data management and analysis. He has contributed to multiple projects involving text analysis, social network analysis, and temporal analysis. His current work centres on applying machine learning methods to humanities and social science research, with particular interests in visual and multimodal approaches. His research and the toolsets he has developed have been published in top-tier conferences and journals.