Enrique Caño Marín

Enrique Caño Marín is an Associate Professor at the Department of Computer Science at Universidad de Alcalá, Spain. His research focuses on predictive analytics, social media analysis, and their applications in healthcare, entrepreneurship, and digital transformation. He holds a doctorate from Universidad de Alcalá, completing his thesis on applying predictive analytics to public data and social media in healthcare (2023), supervised by Dr. Marçal Mora Cantallops and Dr. Salvador Sánchez Alonso.

His recent work explores topics such as blockchain in industry funding, generative AI in business transformation, and the role of Twitter in fake news detection. He has published extensively on digital health innovation, pandemic logistics, and women's entrepreneurship in family businesses. Despite no explicit mention of awards, his publications demonstrate strong contributions to interdisciplinary research at the intersection of technology and societal challenges.

Research themes consistently emphasize leveraging data science for real-world impact, with a particular focus on social media's role in healthcare, entrepreneurship, and global policy analysis. His work often combines graph analytics, text mining, and machine learning methodologies to address complex problems in digital ecosystems.

Enrique collaborates with institutions on projects involving predictive modeling, competitive intelligence, and the ethical implications of AI systems. His email is enrique.canom@uah.es for academic inquiries.