I combine mobile-phone GPS data with causal inference methods to evaluate transport and place-based interventions across multiple spatial scales. By examining impacts both within intervention areas and across the wider transport network, and by distinguishing between residents, visitors, and pass-through travellers, I reveal who benefits, who is disadvantaged, and how effects are distributed across populations and places.

• Transport for London, Evaluating the mobility and distributional impacts of Low Traffic Neighbourhoods using individual-level mobility data.
• Greater London Authority, Analysing group footfall dynamics and mobility patterns during major events and public-space interventions.

I develop artificial intelligence and GIS methods that transform anonymised mobile-phone trajectories into mode-specific, street-level flow estimates across walking, cycling, bus, rail, and car networks. By linking these flows into a city-wide mobility system, I study how people and transport networks respond to short- and long-term disruptions, informing applications in transport planning, resilience, routing, and decarbonisation

• Ordnance Survey, Multimodal Routing Network enhancement
• Transport for London, RoadLab 2 real-time driving and walking flows
• Department for Transport, Travel behaviour adaptation during extreme weather

I develop dynamic measures of exposure to green space, blue space, air pollution, and the built environment by integrating mobility data and large-scale NHS electronic health records. My research examines how environmental and mobility-related exposures influence mental and physical health throughout daily life, generating evidence to support healthier, more equitable cities and communities.

• GroundsWell, green and blue space for mental health
• Data-HEART, North West environmental data asset