Summary
Jorge Gil is an Associate Professor and urban data scientist with 11+ years of experience building City Information Modelling (CIM) and Digital Twin solutions to inform sustainable urban planning and mobility. He combines academic leadership at Chalmers with hands-on consulting through his own practice, delivering open-source GIS, PostGIS and QGIS-based tools that fuse spatial networks, machine learning and visualization for decision support. His work spans urban morphology, accessibility planning, energy transition and circular economy, translating complex spatial data into actionable strategies for “where, what and for whom” development. A seasoned software developer, he codes across Python, R, SQL, JavaScript and C++, and is the main author of influential QGIS plugins for spatial network analysis. He maintains a wide Europe-centred collaboration network across academia and industry, supervising PhD students while deploying practical demonstrators for public and private clients. Less obvious: his trajectory began in interaction and 3D graphics, which informs his strong focus on user-centred design and interactive visual analytics in urban tools.
12 years of coding experience
15 years of employment as a software developer
High School, Abitur (Science), 2.0, High School, Abitur (Science), 2.0 at Deutsche Schule Lissabon
Bachelor’s Degree, Architecture, Diploma, Bachelor’s Degree, Architecture, Diploma at Technical University of Lisbon - UTL
Doctor of Philosophy (Ph.D.), Urbanism, Doctor of Philosophy (Ph.D.), Urbanism at Delft University of Technology
Master’s Degree, Built Environment: Virtual Environments, Distinction, Master’s Degree, Built Environment: Virtual Environments, Distinction at The Bartlett School of Architecture, UCL
Portuguese, English, German, French, Spanish, Italian, Dutch, Swedish