I am an Assistant Professor of Urban and Regional Planning at Taubman College of Architecture & Urban Planning, University of Michigan - Ann Arbor. My research interests are to support social life in cities and participatory/collaborative processes in planning through urban analytics. My approaches are largely inspired by the field of network science, complex system, and critical & participatory approaches in GIS and planning, and therefore ground my research in the pursuit of authentic human connections and social inclusion in cities. These interests and approaches are rooted in my past research experience at GeorgiaTech Friendly Cities Lab, NUS Urban Analytics Lab, and Santa Fe Institute.
My current work focuses on two themes: 1) exmaining how network infrastructure (e.g., transportation and social infrastructure) can simultaneously be inclusive and exclusive, offering connectivity and access for certain populations, places, or types of flows, while marginalizing or restricting others, 2) exploring how data, technology, and AI can support, transform, or challenge participatory practices in planning. These two themes build on my dissertation: Connectivity for whom and at what cost: contesting network infrastructure duality in urban planning.
Download my resumé .
MCRP/PhD in City and Regional Planning, 2019-2023
Georgia Institute of Technology
BS in Computational Science, 2015-2019
BA in Sociology, 2013-2015
University of California - Berkeley
🔈 [New!] I am hiring three UMich undergraduate/graduate hourly research student assistants for Winter 2024. See job descriptions and application details here. Application review will start on Jan 14th. (Jan. 10)
📚 [New!] I successfully defended my PhD dissertation Connectivity for Whom and at What Cost: Contesting Network Infrastructure Duality in Urban Planning (Dec. 6th).
📄 [New!] My new paper with collaborators titled Impacts of COVID-19 on Biodiversity Conservation and Community Networks at Kibale National Park, Uganda is published in The Professional Geographers for early view! In the paper, I mapped how COVID-19 affects the research field station employees’ economic networks (September 28th, 2023).
Cities contain many interconnected networks for infrastructure, human mobility, and relationships. This elective introduces students to concepts and analytical methods for urban network analysis, including conceptualizing, analyzing, and visualizing cities as networks and fostering a critical perspective on how urban networks reflect and reproduce urban inequality. Students will analyze both spatial and social networks and discuss their applications in urban transportation, social justice, and governance. The course will be taught with lectures and hands-on analytical labs. The labs will use Gephi, SNoMaN software, and the R programming language. Prior programming experience is not required but recommended.
This course introduces students to essential methods and techniques used in planning practice and urban research. Analytic approaches include research design, multivariate regression, population forecasting, survey research, case study research, evaluation, and graphic data presentation. The emphasis is on methods in the context of planning and urban policy research, and matching the methods to the problem. We will cover computer applications for data analysis, including some computer lab time scheduled periodically through the semester.
This course provides students an introduction to the technical, theoretical and practice-based dimensions of urban informatics, an interdisciplinary field of research and practice that uses data and information technology for the analysis, management, planning, inhabitation, and usability of cities. Situated at the intersection of digital technologies and the human environments, this course situates itself at the emergence of new disciplines— urban science, big data, smart cities, civic technologies among others. The course is centered around technical lectures interspersed with guest presentations and class debates grouped into five topical categories—data acquisition, numerical analysis, mapping and spatialization, visualization and interaction, and civic technologies. Students will also have an opportunity to develop their project—based on their research question—that combines these technical aspects in a final analysis and demonstration. Within the seminar and lecture sessions, we will discuss the policy and design questions around the creation of, and use of urban data within the language of urbanism. Seminar and lecture sessions cover topics related to the context and practice models associated with urban technologies, including civic technology, indicators, smart cities, and performance management.