Architect exploring the strange geometry of intelligence.
I once built walls and lights; now I build logic and data flows.
I’m moving from Retail Architecture into Data Science and Artificial Intelligence, fascinated by how we’ve engineered systems that — without truly perceiving — can reach outcomes similar to perception and reasoning.
My long-term goal is to build digital twins of cities that don’t just simulate buildings and traffic,
but also approximate the cognitive layer — modeling how spatial form, sensory context, and cultural patterns shape collective human behavior and perception.
Currently:
- 🎓 Enrolled in Le Wagon’s Data Science & AI Bootcamp (2025)
- 🧪 Preparing a PhD research project that blends AI, spatial cognition, and behavioral simulation
- 💡 Seeking funding and academic partnerships to bring this research to life
- Cognitive Urbanism – How spatial configurations influence mental and emotional states
- AI × Architecture – Using neural and statistical models to approximate the aesthetic logic of space
- Agent-Based Modeling – Simulating collective behavior and emergent urban dynamics
- Biomimetics & Systems Thinking – Nature as a blueprint for intelligent design
- Digital Ethics – When we teach machines about humans, what do we teach them about us?
| Domain | Tools & Tech |
|---|---|
| Programming | Python (NumPy, Pandas, Matplotlib), SQL |
| AI / ML | Scikit-learn, TensorFlow (beginner), Jupyter |
| Data | Tableau, Power Query, Excel, APIs |
| Dev | VS Code, Git, Virtual Environments |
| Exploration | Cognitive mapping, Mind maps, Sketch-based modeling |
I see AI as a new architecture — not of buildings, but of understanding.
Both architects and data scientists sculpt experience: one in space, the other in information.
Each model is a hypothesis about how the world might think.
Each dataset is a memory we’ve collectively digitized.
Each simulation is a mirror held up to society.
- 🎓 Le Wagon Bootcamp Work – real-world ML applications and analysis projects
- 🧠 Spatial Cognition Research – linking urban form to behavioral data
- 🧍 Agent-Based Simulation – exploring “micro-psychohistory” for urban prediction
- 🧩 Architectural AI Notebook – ongoing reflections on intelligence, form, and cognition
I enjoy collaborations that blend science, art, and computation, especially around:
- Urban cognition and perception
- Machine learning for design
- Ethical and interpretive AI
📫 Reach me here on GitHub or wherever people discuss ideas that refuse easy categories.
Between code, cognition, and concrete lies the future city.
"To understand intelligence, study space.
To understand space, study intelligence."