Chuqiao (Joe) Zhang
Research associate

Profile

Biography

• PhD Mathematics – Brunel University of London
• BSc Mathematics and Statistical Science - University College London

Career

• Research and Innovation Associate, Department of Mathematics, University of York

Research

Projects

Reliable probabilistic learning and accurate prediction of flooding in the Humber Estuary

EPSRC-funded project UKRI2398, 22 September 2025 to 21 September 2026.

As the PDRA in this project, I work on a new probabilistic learning methodology that allows for the learning of a high-dimensional function, namely, the function that outputs inundation levels at about 1000 locations, as affected by multivariate storm events. We have predicted the flood levels at these locations, when a test storm strikes the Humber estuarine region. This project is a collaboration with the hydrological consultancy HR.Wallingford, and the data is from the Environment Agency.

Publications

Selected publications

• “Constructing a Training Set Using Distance Between Learned Graphical Models of Time Series Data on Patient Physiology, to Predict Disease Scores,” PLOS ONE (2023). DOI: 10.1371/journal.pone.0292404
• “Individualised Recovery Trajectories of Patients with Impeded Mobility, Using Distance Between Probability Distributions of Learned Graphs,” Artificial Intelligence in Medicine (2024). DOI: 10.1016/j.artmed.2024.103005
• “Identifying critical residues of a protein using meaningfully-thresholded Random Geometric Graphs” Journal of Computational and Graphical Statistics (under review)