Jiahao is a master’s student in Computing at the University of Utah. He holds a bachelor’s degree in Landscape Architecture from Sichuan Fine Arts Institute and a master’s degree in Urban Planning and Design from City University of Macau. He was previously a PhD student in Urban Studies at LSU New Orleans before transferring to the School of Computing at the University of Utah.
My current work focuses on using AI and integrated mobility data to support transit decision making and applying machine learning methods to understand travel behavior.
My research interests include machine learning, travel behavior and the built environment, and urban data science and analytics.
