معرفی
Jack Sutton is a Lecturer in Data Science at the University of Derby's College of Science and Engineering. His research focuses on urban scaling phenomena, epidemiological modeling, and spatial-statistical applications. Sutton's work bridges data science with public health and urban planning, analyzing how population density, city size, and inter-city networks influence disease spread and socio-economic patterns.
Key research interests include:
- Urban-rural transitions and scaling laws
- Epidemiology of pandemics (especially SARS-CoV-2)
- Bayesian statistical modeling for scaling problems
- Geospatial analysis of demographic and health metrics
His recent publications analyze urban density impacts on disease transmission, rural-urban demographic scaling anomalies, and heteroscedastic Bayesian models for complex systems. Sutton's work frequently combines computational methods with real-world data from England/Wales, Brazil, and other regions.
No scientific awards or grants are explicitly listed in available materials. He has advised no formally listed students, though collaborative research teams are implied through co-authorships.
