Postgraduate research students

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.

• Dr Meiliu Wu
• Professor Ana Basiri

University of Glasgow - The China Scholarship Council (CSC) Co-operative Scholarship (2024-2028)

Teaching Assistant：

• Maths 2T，School of Mathematics and Statistics, 2025 Spring
• Maths 2D，School of Mathematics and Statistics, 2025 Spring

Research Assistant：

 Research Assistant, in Social Sciences Administration within the College of Social Sciences. 2025 Summer.

• M.Sc. in Applied Statistics (Biostatistics), University of Liverpool, 2024
• B.Sc. in Applied Mathematics and Statistics, University of Wisconsin, 2022
• B.Sc. in Economic Statistics,Suzhou University of Technology, 2022

   

   

  Professional Experience：

• Biostatistician

  Zenith CRO, Shanghai, China
  12/2023 – 09/2024

  Transcenta, Suzhou, China
  06/2023 – 10/2023