Dr Yulun Zhou holds a PhD from the Chinese University of Hong Kong with his dissertation titled “Spatial data science in guiding climate-conscious urban growth planning”. He also holds a M.Sc. in Geoinformation Science from CUHK and a B.Eng. in Nuclear Science from the Institute of Modern Physics, Fudan University. He also worked as a doctoral researcher at the MIT Senseable City Laboratory and Harvard Healthy City Laboratory.

Currently, Dr Yulun Zhou is an Assistant Professor in Urban Data Science based in the Faculty of Architecture at the University of Hong Kong. His work straddling urban science and artificial intelligence has been published in leading journals such as Nature Computational Science, Environmental Science & Technology, Geoscientific Model Development, Environment and Planning B: Urban Analytics and City Science, and Cartography and Geographic Information Science. He also serves as a reviewer for around ten journals such as Remote Sensing of Environment, International Journal of Geoinformation Science, Urban Studies, and Applied Network Science. Some of his recent work includes vector-based pedestrian navigation in cities, AI-driven climate-sensitive urban growth planning, data quality control of low-cost indoor air pollutant sensors, and urban vibrancy evaluation using multi-source spatial big data.