I am a Ph.D. candidate in Urban Science at MIT, working with Professor Andres Sevtsuk at the City Form Lab. My research develops scalable computational frameworks to measure sidewalk life, bringing together street-level imagery, vision-language models, and geospatial modeling to observe how people move, gather, and interact across cities at scale.
Beyond my dissertation work, I have pursued this interest across a range of research contexts. As a PhD Applied Scientist Intern at Amazon AGI, I designed large-scale multimodal benchmarks for audio and reasoning evaluation. As a Visiting Researcher at UCLA’s Vision and Autonomy Intelligence Lab with Professor Bolei Zhou, I contributed to sidewalk perception systems for autonomous delivery robots. Before joining MIT, I founded CitoryTech, an independent urban visual AI studio, where I led over thirty applied research projects for clients including the World Bank, Daimler, and municipal governments across China.
My work has appeared in AAAI, Nature Cities, Cities, and ECCV, and has been cited over 1,500 times. My research was exhibited at the 2025 Venice Architecture Biennale, and I have consulted for organizations including the World Bank and Tencent.