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Jing Yao joined the University of Glasgow as a lecturer in Urban Big Data and Quantitative Methods at the UK ESRC-funded Urban Big Data Centre in October 2014. He holds a PhD in Geography and an MSc in Industrial Engineering from Arizona State University, USA. Additionally, he obtained his MSc and BSc degrees in Geographical Information System (GIS) from Nanjing University, China. Prior to his current position, he worked as a postdoctoral associate at the GeoDa Center for Geospatial Analysis and Computation at ASU and as a research fellow at the Centre for Geoinformatics at the University of St Andrews in the UK. His research spans a wide range of areas including geographic information science, spatial analysis, spatial statistics, spatial modeling, and spatial optimization, with a focus on the development of quantitative methods for spatially integrated analysis and modeling, particularly in applications related to social science and health research.
Urban Big Data Centre, University of Glasgow • Glasgow, UK
Lecturer in Urban Big Data and Quantitative Methods.