YGGDRASIL
My work explores how data‑driven design can foster ecologically resilient cities capable of thriving amid uncertain futures. At its core is a parametric framework that quantifies and optimizes the interplay between urban form and ecosystem services through an EFHR index—Ecology, Function, Height, and multi‑hazard Resilience—enabling rapid iteration of spatial scenarios to balance development intensity with ecological performance .
In an East Manchester masterplan, I wove multi‑layered green spaces, river–wetland–forest corridors, and vertical wetland communities into a complex adaptive system, demonstrating how modular “EcoBird’s Nest” towers and bio‑responsive infrastructure bridge fragmented habitats and support biodiversity. These prototypes showed measurable benefits—a 15 % reduction in urban heat island effect, 80 % control of annual runoff, and significant EFHR score gains—while integrating flood‑ and ash‑mitigation strategies.
My interests lie at the intersection of AI, IoT, and urban ecology: I aim to treat the city as a living network, using real‑time environmental feedback to guide design decisions, from micro‑scale ecological devices to large‑scale land‑use optimization. I’m particularly drawn to low‑maintenance modular systems and community‑centered governance models that enable cities not only to adapt but to co‑evolve with their natural surroundings.
