Seung Won Eo, a knowledge-hungry South Korean with an entrepreneurial spirit, specializes in Geographic Information Science (GIS). His passion for GIS ignited during his Master’s program at Seoul National University, where he contributed to a state-funded project on geospatial big data management and analytics. This experience honed his skills in handling large datasets, particularly using Python and Natural Language Processing (NLP) to extract geographic insights from Twitter data. He recognized GIS’s potential for spatial information collection, analysis, and visualization. Building on his academic foundation, he co-founded a GIS start-up in South Korea, collaborating with professionals in construction, urban planning, and real estate. He developed methods to optimize site selection and forecast market demand by integrating diverse datasets. His educational background includes a B.A. in Urban Studies from the University of California, Berkeley, and an M.Sc. in Civil and Environmental Engineering from Seoul National University. He has also worked as a Senior Researcher and Technical Assistant on state-funded GIS projects. He pursues a PhD to deepen his expertise in advanced spatial analytics and machine learning, aiming to address complex real estate challenges. His research focuses on combining GIS with quantum-inspired probability for precise property valuation and urban planning. He joined the QuiVal research project, which aligns with his interests in integrating GIS, sustainability, and innovative valuation methods. QuiVal’s collaborative environment will allow him to enhance GIS-driven analyses and contribute to sustainable, low-carbon urban development. His long-term goal is to establish a prop-tech start-up in Europe, rooted in data-driven intelligence.