Why places feel the way they do
A two-stage GeoAI framework that parses free-form explanations into structured perceptual units to quantify how specific elements shape safety, beauty, and liveliness across cities.
Bio
Hi, I am Tim Guangyu Wu, a PhD student at NYU Wagner and NYU Shanghai, and a researcher with the NYU Shanghai Urban Lab. My advisors are Professor ChengHe Guan and Professor Zhan Guo. I received my Master’s degree in Data Science from the Columbia Data Science Institute and my Bachelor’s degree in Data Science and Finance from NYU Shanghai. Previously, I worked at Columbia University’s Center for Spatial Research, where I led the data science work for the Mapping Historical New York project.
Projects
Public vs. private networks
National-scale analysis separating regulatory impacts on public and private subdivisions with improved node classification and temporal trends for policy insight. This site is currently migrating to a large language model agent-based interface—more project details will be available soon. Stay tuned.
Publications
- Wu, T. G., & Guan, C. (2024). Advancing Intra and Inter-City Urban Digital Twins: An Updated Review. Journal of Planning Education and Research, 0(0). https://doi.org/10.1177/0739456X241260887
Contact
Email: gw923@nyu.edu
GitHub: @timwgy
I’m always open to chats and collaborations—feel free to reach out or connect at ACSP in Minneapolis!