Zhecheng Wang is a PhD student in Civil and Environmental Engineering with minor in Computer Science. He is co-advised by Ram Rajagopal and Arun Majumdar. His research interests lie at the intersection of machine learning, sustainability, and social science. In particular, his research is aimed at the development of AI-driven methods to provide closed-loop solutions for building sustainable urban and energy systems, ranging from AI-driven mapping and sensing to spatiotemporal data mining. Zhecheng received his MS degree in Mechanical Engineering from Stanford University in 2018. He is a recipient of 2018 Stanford Interdisciplinary Graduate Fellowship (SIGF).