About
A Spatial Data Scientist
Hi there! I am Rui Zhu, a Senior Lecturer at the School of Geographical Sciences, University of Bristol. I am a geographer by training with a background in data science. Broadly speaking, I study how humans and machines represent, organize, and reason about spatial and temporal information to advance knowledge at the intersection of human, environmental, and AI systems. More specifically, I combine theory-informed approaches, drawing on geography, the social and environmental sciences, and human cognition, with data-driven methods, including machine learning, AI, and spatial statistics, to address geospatial challenges such as data interoperability, spatial prediction, and spatial reasoning. My work has been applied across a wide range of domains, including urban studies, public health, environmental modeling, and humanitarian relief.
Currently, I am co-leading the Spatial Analysis and GeoAI (SAGE) Research Group and serving as the secretary of RGS-IBG GIScience Research Group.
Research Interests
- GeoAI
- GIScience
- Spatial Statistics
- Spatial Data Science
- Geospatial Semantics
- Spatiotemporal Data Mining
- Geospatial Knowledge Graphs
Background
I received my Ph.D. in Geography from the Department of Geography, University of California, Santa Barbara. I obtained a M.S. degree in Information Sciences from the School of Computing and Information, University of Pittsburgh. I have also worked as a Postdoctoral Scholar at the Center for Spatial Studies, University of California, Santa Barbara.
Prospective Students/Scholars
Master Student: I teach Geospatial Artificial Intelligence (GeoAI) in the MSc in Geographic Data Science and Spatial Analytics programme. Students who want to advance their knowledge and skills with cutting-edge machine learning and AI techniques, and to learn how to apply them to real world problems, please apply for this program.
PhD Student: I am recruiting talented and self-motivated PhD students/Postdoc scholars whose research interests align with mine. Please keep in touch if you are interested by sending me your CV and proposal. I could supervise students in three programmes: PhD in Geographical Data Sciences, PhD in Human Geography, and PhD in Physical Geography. Multiple kinds of fellowship could be applied under my supervision.
Visiting Scholar: I am considering visiting scholars who are willing to work with me at the University of Bristol. Contact me if you are interested.
News
Geography According to Foundation Models
My new edited volume is now out with IOS Press, in the Frontiers in Artificial Intelligence and Applications series.
COSIT 2026
I am serving as Programme Chair for the 17th Conference on Spatial Information Theory.