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Prospective PhD students
I welcome prospective PhD students whose work connects computational methods with substantive urban questions. The best fit is someone who wants to build rigorous tools, work carefully with visual or spatial data, and think critically about what computational evidence can and cannot support in planning.
My lab is a good home for students interested in computer vision, geospatial methods, HCI, accessibility, transportation, and critical AI, especially when these areas are used to study real urban systems rather than as methods in isolation. You do not need to come from one specific discipline. What matters more is that you can formulate a serious research question, reason carefully about evidence, and are interested in both building computational systems and questioning their limits.
When contacting me, please describe the question that motivates your work, the methods or tools you have used, and why my lab is the right place for the project you want to develop. A short, specific email is much more useful than a broad statement of interest.