CJ KWEON

Changjin Kweon (CJ Kweon) is an architectural and computational design researcher whose work investigates how cities behave when they are understood as dynamic, data-driven systems rather than fixed spatial products. Educated at the Architectural Association School of Architecture in London, his practice moves between architectural design, algorithmic processes, and real-time simulations of urban movement.

His current research, Adaptive Nexus, explores AI-mediated decision systems for transport, incremental urbanism, and the spatial consequences of large-scale mobility flows. Working across TouchDesigner, Python, and machine-learning toolchains, he develops interactive environments and data-driven spatial logics that challenge conventional architectural representation.

Kweon’s design interests extend from real-time infrastructural visualisation to agent-based urban modelling and large-scale behavioural mapping. His recent projects combine computational workflows, multi-layered mobility datasets (TFL bus/tube/footfall), and responsive spatial operations that link architecture to the temporal complexity of cities.

He previously trained in architectural offices in Seoul, focusing on conceptual development, early-stage design packages, and practical CAD/3D workflows. His work is grounded in architectural training but expands toward emerging modes of AI-assisted spatial reasoning and speculative urban systems. He currently lives and works between London and Seoul.