Rui Wang

Rui Wang is a PhD candidate in Spatial Data Science at King's College London, specialising in Spatially Explicit GeoAI and its applications in urban safety. His research focuses on developing interpretable spatio-temporal models for urban crime prediction, integrating multimodal data such as street-level imagery, remote sensing, mobility information, and crime records. By combining machine learning with spatial analytical frameworks, his work aims to advance transparent, explainable, and policy-relevant approaches to understanding urban crime risk. His broader research interests include explainable machine learning, environmental feature extraction, and the integration of multimodal spatial data for evidence-based urban governance.

He holds an MSc in Urban Informatics from King's College London, where he studied the impacts of COVID-19 lockdowns on London's crime patterns using Bayesian time-series models and spatial regression techniques.