Dani Arribas-Bel is Deputy Director of Urban Analytics at the Turing, and senior lecturer

Research interests

Dani is interested in how data science and AI can help us better understand cities and their evolution. His main research integrates new forms of data and methods with traditional spatial analysis and modelling to create representations of the spatial structure of cities. At the Turing, he is focused on using AI and machine learning to leverage satellite imagery, creating high-resolution descriptions of cities that can be updated as new streams of images become available.