I am a Ph.D. candidate in Architecture at UC Berkeley, with a B.S. in Civil Engineering from Edinburgh Napier University and an M.S. in Architectural Computation from University College London. I worked as both a researcher and an architect, and served as a research assistant at the division of Building Technology and Urban Systems, Lawrence Berkeley National Lab. My interdisciplinary approach combines architecture, urban planning, energy engineering and artificial intelligence to address pressing challenges in sustainable urban development. I specialize in building stock analysis through generative models and urban environment modeling using graph theory. My work explores how early design interventions and distributed energy planning can enhance energy efficiency and energy resilience in the face of climate change and increasing electricity demand. Beyond academia, I enjoy painting and hiking.
Xinwei Zhuang
