BEiLM is a research lab investigating how informatics, intelligence, industrialization, and integration transform how we design, operate, and retire buildings, campuses, and cities.
The built environment isn't a single artifact — it's a set of nested systems. Our research moves fluidly between them, because decisions at each scale shape the others.
Housing and individual structures — performance of the envelope, and the quality of the spaces within.
Universities and institutional precincts — coordinated portfolios of buildings and open space.
Urban systems, infrastructure networks, and the built environment at metropolitan scale.
Structured knowledge of the built environment — data models, spatial reasoning, and the representations that let machines understand architecture.
Machine learning, reasoning, and decision support — helping designers, operators, and cities make better choices under real-world uncertainty.
Turning ideas into matter — robotics, modular construction, and the industrialization of how buildings get made at scale and with precision.
Systems thinking across people, processes, and platforms — collaboration, participation, and the dynamics that hold the other three i's together.
Lifecycle analysis, carbon accounting, and design-stage decision making that sets the trajectory for everything that follows.
Facility management, building performance monitoring, and the long middle years where most energy, cost, and emissions actually accumulate.
Deconstruction, material recovery, and circular economy — treating the end of one building as the beginning of the next.
Every project in the lab sits somewhere on this grid — a specific combination of method, scale, and lifecycle phase. It's a compass for new research, a way to explain what we do to partners, and an honest map of where knowledge is still thin.