Yun-Dam Ko is a Ph.D. student in the Department of Civil and Environmental Engineering at Stanford University. His research aims to make buildings and cities more sustainable by integrating data-driven approaches with physical systems through scientific insight. Currently, his work focuses on developing a LLM framework for heating and cooling system control in buildings. By embedding domain knowledge from physics-based simulations and building science, he builds scalable AI systems that serve as interactive and interpretable “virtual building scientists.”
Through the HAI Graduate Fellowship Program, Yun-Dam seeks to augment the role of facility managers by enabling human-centered, AI-supported decision-making that addresses real operational challenges, accommodates diverse stakeholder needs, and promotes transparency, sustainability, and equity in building management.
Prior to Stanford, he worked at a startup developing AI solutions for large-scale building energy efficiency. He holds an M.S. in Architectural Engineering from Seoul National University in South Korea and a B.S. in Civil Engineering from the Technical University of Munich in Germany.