I learned on an archipelago that a place has limits.
Since then I have read cities from several sides: environmental science and urban metabolism, spatial data science and software, walking and mapping, and early-stage ventures. I build spatial intelligence: maps, models and tools that help people understand places and make decisions.
My route connects environmental science at Granada, two sustainability master's degrees at UPC and urban spatial science at UCL's Bartlett, where I graduated with Distinction. General Assembly's Software Engineering Immersive gave me the tools to turn research into applications people can use.
I have worked on urban ecology in Barcelona, European circular-city methods and retail location intelligence at TJX Europe. I connect source data and pipelines to analysis, models and the interface a team uses, with the environmental question in view.
I am a PhD researcher at UCL's Centre for Advanced Spatial Analysis (CASA), The Bartlett, researching how reliable spatial evidence must be for decisions about urban heat and buildings.
I am building geospatial.careers and participating in Carbon13. My fractional CTO engagement at CommunityAI ended in October 2026; I worked from audit and roadmap through architecture, data engineering, modelling and software delivery. My experience and case studies explain what I delivered.
I also read places through walks, photographs and print. I designed and delivered a participatory workshop at Queen Elizabeth Olympic Park, connecting engineering history with questions of access and equity. Art and critical cartography help me question what conventional datasets leave out.
An urbanist, trained across disciplines.
Science taught me to understand a system. Engineering and architecture taught me to change it. Software gave me another way to put that knowledge to work.
Science2013–2017
BSc Environmental Sciences
Faculty of Sciences, University of Granada
Understand environmental systems.
Engineering2017–2019
MSc Sustainability Science and Technology
University Research Institute for Sustainability Science and Technologies, Universitat Politècnica de Catalunya
Connect sustainability to the systems we build.
Architecture2018–2019
MSc Sustainable Intervention in the Built Environment (MISMeC)
Vallès School of Architecture, Universitat Politècnica de Catalunya
Work with cities, buildings and their material flows.
Software2020
Software Engineering Immersive
General Assembly
Turn ideas into working tools.
Architecture & spatial science2022–2024 · part-time
MSc Urban Spatial Science
Centre for Advanced Spatial Analysis, The Bartlett, UCL · Distinction
Spatial Analytics pathway
Analyse urban patterns through spatial data and modelling.
I give people deciding about a place the insight to act: what is there, who it fails, and how well we know.
Vision. Places where anyone can ask what was promised here and see, line by line, whether it is still there. A direction, not a delivered capability.
A practice shaped by different places.
Environmental science in Granada, urban sustainability in Barcelona, circular-city research in Amsterdam, spatial data and technology in London.
From the Canary Islands to London.
51.507° N · 0.128° W
An MSc Urban Spatial Science at The Bartlett, European location intelligence at TJX Europe, and fractional technology leadership at CommunityAI, an engagement completed in October 2026.
Station 5 of 5: London, 2021–present, Spatial data science and technology leadership.
Read. Build. Question.
The same habits across climate, urban systems, location intelligence and public work. The method they serve is The Living Section: Enough. Room. Limits. Known. Kept.
- 01
Read the system
Bring environmental conditions, infrastructure and lived experience into the same frame without pretending they have the same scale or certainty.
- 02
Build the instrument
Turn evidence into reproducible analysis, software and interfaces that a team can inspect, use and maintain.
- 03
Question the map
State sources, omissions and limits, then use critical cartography to make other accounts of place visible.
- Terrain
- Buildings
- Canopy
Start with what is there.
Environmental science begins with the ground, the built environment and the living systems around us.
A useful map supports a decision. An honest map also shows its position, categories and omissions.
The delivered Olympic Park workshop · Upside Down World, the south-up atlas
From spatial data to working software.
I connect environmental science, cloud infrastructure and product engineering. These are the tools I use across my research and software projects.
01
Cloud-native geospatial
From Earth observation to queryable spatial evidence.
- Google Cloud (GCP)
- BigQuery
- Earth Engine
- Cloud Storage
- Terraform
02
Spatial data engineering
Pipelines and open formats that keep data usable.
- Python
- SQL
- PostGIS
- DuckDB
- dbt
- GeoParquet
- PMTiles
03
Geospatial ML & science
Environmental features, spatial validation and reproducible models.
- GeoPandas
- NumPy
- scikit-learn
- XGBoost
- Vertex AI
- VoxCity
04
Interfaces & cartography
Make complex geography legible, interactive and useful.
- TypeScript
- React
- Next.js
- MapLibre
- deck.gl
- Three.js
Know the building. Question the model.
How much do we need to know about a building before trusting a model? My evolving research begins with building-stock geometry and solar exposure, and explores heat and fabric as related questions. I want to make uncertainty visible and identify the extra observations a decision needs.
Read the research direction