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Predictive Mobility
Forecasting transit demand from observed mobility patterns and urban morphology.
01 / Introduction
Computational Design for the Built Environment.
Through the lens of data science and spatial analysis, I explore the complex narratives hidden within city structures and the built environment. From digital twins to serious games, my work bridges urban planning and technical precision.
Focus 01
Digital Twins
Creating dynamic virtual replicas of urban environments to simulate change, test infrastructure decisions, and anticipate future spatial needs.
RT
Real-time Integration
Sensor networks mapped to geometry and policy data.
Focus 02
Machine Learning & Intelligence
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Land-Use Clusters
Identifying emerging residential, commercial, and civic districts from spatial data.
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Image Recognition
Reading streetscape quality, heritage features, and pedestrian comfort with computer vision.
Focus 03
Serious Games
Gamifying urban participation. Interactive environments let citizens and stakeholders engage with policy changes before they are etched in concrete.
4.2k Simulated Users
18 Urban Scenarios
Focus 04
Cultural Heritage & GIS
Mapping history onto the digital grid. GIS becomes a way to preserve architectural legacies while planning for modern expansion.
Temporal Mapping
Analyzing urban evolution through georeferenced historical cartography.
Photogrammetry
High-fidelity documentation of heritage facades for archival and restoration work.
Focus 05
BIM Integration
Building Information Modeling meets urban scale, bridging individual architectural components and collective urban systems.
TECHNICAL SCHEMATIC V.4.2 A