Ziwei Shu is an Assistant Professor in the Faculty of Statistics at the Complutense University of Madrid (UCM) and currently serves as Dean's Delegate for Public Engagement and Institutional Relations. She holds a Ph.D. in Data Science (Extraordinary Doctoral Award), a Master's degree in Data Mining and Business Intelligence, and a Bachelor's degree in Commerce, all from UCM. She is a member of the UCM research group Data-Driven Decision Making for Organizations and Society, specializing in data science applications for business and economics, including customer analytics, recommender systems, and multi-criteria decision-making. She has published several research papers in international journals, with some being recognized as Editor's Choice Papers. She is also dedicated to mentoring students and actively participates in teaching innovation programs. She received the prestigious Best in Track Paper Award for Marketing Analytics, AI, and Machine Learning at a conference organized by the American Marketing Association (2023). Her outstanding research contributions also earned her First Prize at the 7th PhDay Contest at UCM (2023). She was also honored with the First Prize in the “Josefa Eugenia Fernández Arufe” 2024 Award for Best Young Researcher, awarded by the International Association of Applied Economics (ASEPELT). Furthermore, she received the Best Paper Award at the 5th International Conference on Artificial Intelligence and Knowledge Processing (AIKP 2025).