Zoltan Nagy, Ph.D., researches intelligent energy management systems for buildings and cities. His work with CityLearn, an open-source platform for energy modeling, helps communities reduce their carbon footprint through smarter grid interaction.

With a background in mechanical engineering, Nagy focuses on practical applications of artificial intelligence for sustainability, developing tools that help buildings use energy more efficiently while maintaining comfort. His research bridges academic innovation with real-world implementation, contributing to climate solutions in the built environment. He holds an Msc and a PhD in Mechanical Engineering from ETH Zurich, Switzerland.