Biography
Song Zimeng is a PhD student with a background in architecture and urban planning, and prior experience in municipal housing and planning departments in a major city. These roles provided practical exposure to policy and implementation.
Song holds two master’s degrees in urban analytics, from the University of Sheffield and UCL, focusing on quantitative, computational and also qualitative approaches to urban studies.
Song's current interests include urban big-data modeling, machine learning and GeoAI. His research area covers urban spatial structure and infectious diseases (modeling and forecasting transmission), urban inequality, 15-minute city, and related urban socioeconomic issues.
Research
Thesis title: 'Pandemic, urban spatial structure and inequality'
PhD supervision
- Principal supervisor: Dr Zahratu Shabrina
- Secondary supervisor: Dr Daoping Wang