Background: Ph.D. Constructed Environment Program, School of Architecture, University of Virginia, Charlottesville, VA, expected 2020; M. Urban Planning, The State University of New York at Buffalo, NY, 2016; B.E., Urban and Regional Planning, Sichuan University, Chengdu, China, 2014; Transportation Research Intern, National Center for Smart Growth, University of Maryland (College Park, MD); GIS Spatial Analysis Technician, Scholars’ Lab, University of Virginia (Charlottesville, VA); Teaching and Research Assistant, University at Buffalo, SUNY (Buffalo, NY)
Why use data science to study urban environments? I joined the Constructed Environment Ph.D. program at UVA's School of Architecture with a focus in addressing challenging issues in transportation planning according to a data-driven approach, in particular in exploring new data and methods for examining travel behavior characteristics.
I believe that interdisciplinary research combining data science and urban planning can help us to “see" cities through data. I hope to provide insight into how data science resources are being used to get a more fine-grained understanding of urban processes and dynamics.
Research Interests: Data science and urban informatics, machine learning, travel behavior, data-driven approaches in transportation equity issues regarding mobility and accessibility to opportunities in cities, and intelligent transportation systems