Understanding stories stories maps through stories maps stories .
Building AI systems that capture what traditional maps miss: memory, place, and human experience.
Interdisciplinary
Research & Design.
Combining cutting-edge machine learning with human-centred design to reimagine geographic information science.
PlaceAgents: Modelling Multi-Stop Pedestrian Itineraries as Platial Flows
PlaceAgents is an open-source framework for simulating platial pedestrian flows in urban environments. Using OpenStreetMap data, H3 spatial indexing, and interpretable routing algorithms, it models how people chain together sequences of places for errands, work, and leisure.
Geo-Narratives
Capturing stories, memories, and emotions attached to places.
Spatial AI
Machine learning for vague and fuzzy geographic boundaries.
Interactive Systems
Tangible interfaces for community engagement.
PlaceCrafter
A web-based geospatial framework for identifying and visualizing 'platial' functional regions by clustering OpenStreetMap Points of Interest.
Leverhulme Centre for Research on Slavery in War & Rights Lab, University of Nottingham.
More about me →Teaching
PARM-X
An Interactive Projection Augmented Relief Model Web Platform for visualizing and interacting with geospatial data over physical relief models.
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