About me

Welcome to my homepage! I am Yichun Zhou, a Postdoctoral Fellow of Urban Science at the Shanghai Key Laboratory of Urban Design and Urban Science (LOUD), NYU Shanghai. I received my Ph.D. in Urban Systems from the Department of Civil and Urban Engineering at New York University (NYU) Tandon School of Engineering, where I was also affiliated with the Urban Science: Sensing, Complexity, & Informatics doctoral track at the Center for Urban Science and Progress (CUSP).

My research investigates how computational and data-driven approaches can advance urban sustainability and well-being, with a particular emphasis on green space access, human mobility, environmental equity, and public health outcomes. I employ methods spanning machine learning, spatial statistics, and causal inference, drawing on large-scale spatial data sources such as mobile phone records, street view imagery, and georeferenced surveys. Through this work, I seek to generate actionable evidence that informs planning and policy interventions for more equitable and sustainable cities. My findings have been published in Landscape and Urban Planning, Urban Forestry & Urban Greening, and Applied Geography, among others.

I hold an M.S. in Management of Technology with a specialization in Data Analytics from NYU and a B.S. in Computer Science with a Minor in Business Administration from Western Kentucky University. Prior to my doctoral studies, I gained industry experience in data science and program management through positions at Amazon Web Services, Bosch, and Tencent. A full summary of my background and research is available in my CV.