Scholar
Jordan Richards
Google Scholar ID: tE9UJ7sAAAAJ
Lecturer of Statistics, University of Edinburgh
Citations & Impact
Citations
289
H-index
8
i10-index
8
Publications
20
Co-authors
26
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Upcoming publications include 'The efficient tail hypothesis: an extreme value perspective on market efficiency', 'Deep learning joint extremes of metocean variables using the SPAR model', and 'Neural Bayes estimators for irregular spatial data using graph neural networks'. Organized One World Extremes seminars and Spatio-Temporal Statistics and Data Science (STSDS) online seminars, and joined the editorial board of Statistics and Computing in 2025.
Research Experience
- Postdoc at King Abdullah University of Science and Technology (KAUST) from 2021 to 2024, in the Extreme Statistics (XSTAT) research group led by Raphaël Huser. Research focused on developing sparse models for spatio-temporal extremes.
Education
- PhD in Statistics and Operational Research from Lancaster University in 2021, supervised by Jon Tawn, Jenny Wadsworth, and Simon Brown of the Hadley Centre for Climate Science and Services at the UK Met Office.
Background
- Lecturer in statistics at the School of Mathematics, University of Edinburgh. Mainly interested in the intersection of extreme value theory, spatial statistics, and deep learning, with a particular focus on applications to natural hazards and extreme climate risk.
Miscellany
- Started as Director for the Centre for Statistics in 2025; became an organizer for the One World Extremes seminar series; involved in advertising two E5 PhD projects; Xuanjie Shao's joint paper received one of the three honorable mentions in the ASA ENVR 2025 Student Paper Competition.
