My research draws on geographical theory and ‘spatial data science’ methods to address contemporary challenges in urban and regional development. My experience in planning and geography, as well as data and programming, enables me to translate concepts and applications across disciplinary boundaries while paying attention to the details of data, method, and context.

Thematic Research Areas

• Theme 1: Smart Cities & ‘Big Data’ – I work with open event and administrative data from urban infrastructures to understand human behaviour, contextualising these insights as part of planning and governance.
• Theme 2: Economic Geography – I focus on the ‘knowledge economy’, and interactions between individuals and organisations, to understand the developmental trajectories of cities.
• Theme 3: Housing & Neighbourhoods – I employ quantitative and computational approaches to understanding the links between housing and demography dynamics, and small areas.

Methodological Research Areas

• Theme 4: From Open Data to Reproducible Teaching & Research – I explore how open data and tools (both new and old) create opportunities for more robust and accessible teaching and research.
• Theme 5: Emerging & Overlooked Quantitative Methods – I seek to understand the implications of machine learning and older analytical approaches for complex geodata.