About
M.S., Seoul National University. Currently an intern on the Data Solution Team at SAMOO Architects & Engineers, a Samsung affiliate.
Background
I studied Urban Planning & Engineering at Yonsei University, with a double major in Interior Architecture. I wanted to look at cities at a finer spatial scale, so I completed my M.S. in the Department of Architecture & Architectural Engineering at Seoul National University. I am now an intern on the Data Solution Team at SAMOO Architects & Engineers, a Samsung affiliate.
My work has moved from statistical handling of incomplete spatial datasets toward applications that combine urban research with computer vision and sensing-oriented methods. That trajectory is visible across the floor area ratio imputation paper and the vacant-housing grade audit.
Current interests
These are rough ideas at the moment, each parked in a short note:
- Where urban datasets disagree
- Were demolished buildings different from the start?
- Re-running urban planning studies with agents
- What makes a floor plan AI-readable?
Tools I use
- Python, R, Q-GIS, and PostgreSQL
- Machine learning and computer vision
- AI-based workflows (Grasshopper design automation, Markdown knowledge bases)
Public links
- CV PDF
- LinkedIn: dongjoon-park
- GitHub: github.com/gbjun7333