About me

Welcome! I’m Fengjiao Li, a PhD student in Geospatial Data Science at the University of Glasgow, fully funded by the China Scholarship Council (CSC), with a strong academic background in Statistics.

My research lies at the intersection of Geospatial Artificial Intelligence (GeoAI), spatial statistics, and machine learning, with a particular focus on developing advanced Graph Neural Network (GNN) models for analyzing spatial and dynamic population processes. Drawing on my statistical training, I aim to create interpretable, robust, and scalable methods for understanding how populations move and how diseases spread over space and time.

My current doctoral project focuses on embedding spatial structures, population mobility, and temporal dynamics into neural network architectures to support health risk analysis in urban environments. I work on integrating statistical reasoning with AI-driven models to improve epidemic modeling, risk prediction, and intervention planning.

By combining insights from statistics, epidemiology, and geographical data science, I strive to develop data-driven tools that are not only technically rigorous but also practically useful for public health decision-making.

🧠 Research Interests

• Geospatial Artificial Intelligence (GeoAI)
• Graph Neural Networks (GNNs)
• Population Dynamics Modeling
• Machine Learning for Health & Mobility Data
• Spatial Statistics & Bayesian Spatial Models

💼 Professional Experience

I’ve worked as a biostatistician in several clinical trial projects, where I contributed to:

• Statistical analysis planning & Methodology
• Programming (SAS & R)
• Data validation and final reporting

I also served as a Teaching Assistant & Research Assistant at Xi’an Jiaotong–Liverpool University and University of Glasgow, supporting courses in statistics and data science.

📍 Location: Glasgow, UK
🏛️ Institution: University of Glasgow
📬 Email: f.li.3@research.gla.ac.uk
📄 Download CV (PDF)