Chenglei Hu
Email: c.hu2@research.gla.ac.uk
Research title: Flexible joint modelling of multivariate extreme and non-extreme events
Research Summary
My research interest involves Extreme Value Theory, Spatial and Spatial-Temporal Modelling, Bayesian Statistics and Markov Chain Monte Carlo.
I am currently generalising the extreme value mixture model to the multivariate case and developing a new methodology to jointly fit the bulk and tail distribution of multivariate environment data. It has promising applications in estimating extreme events or risks in hydrology, meteorology and finance.
Publications
2025
Li, Mengran, Cuba, Daniela, Hu, Chenglei and Castro-Camilo, Daniela 
ORCID: https://orcid.org/0000-0002-7536-4613
(2025)
A wee exploration of techniques for risk assessments of extreme events.
Extremes, 28(1),
pp. 101-121.
(doi: 10.1007/s10687-024-00500-5)
Articles
Li, Mengran, Cuba, Daniela, Hu, Chenglei and Castro-Camilo, Daniela ORCID: https://orcid.org/0000-0002-7536-4613
(2025)
A wee exploration of techniques for risk assessments of extreme events.
Extremes, 28(1),
pp. 101-121.
(doi: 10.1007/s10687-024-00500-5)
Supervisors
Grants
College Scholarship
Teaching
2021-2022
- Advanced Predictive Models (Level M)
- Introduction to Data Science with Python for Engineers and Researchers (Microcrential)
- Statistics Project and Dissertation (Level M)
