معرفی
Dr. Emma Eastoe is a Senior Lecturer in Statistics at the School of Mathematical Sciences, Lancaster University. Her research focuses on Extreme Value Theory and Environmental Statistics, with applications in climate modeling, oceanography, and environmental risk assessment.
Current research projects include:
- Improved Models for Multivariate Metocean Extremes (IMEX, 2020–2021)
- STORi: Multivariate Oceanographic Extremes in Time and Space (2019–2023)
Her work spans disciplines such as:
- Extreme value analysis of bivariate and multivariate processes
- Statistical downscaling of climate models
- Modeling non-stationary extremes in environmental data
- Applications to oceanographic, atmospheric, and glaciological systems
She supervises PhD students including Kajal Dodhia and Aiden Farrell, and collaborates with research groups like the Data Science Institute (DSI) - Environment, Environmental and Ecological Statistics, and the STOR-i Centre for Doctoral Training.
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