Today the UK funding bodies have published the results of the UK’s most recent national research assessment exercise, the Research Excellence Framework (REF) 2021. Research from the Mathematical Institute and the Department of Statistics in Oxford was submitted together under Unit of Assessment 10. Overall, 78% of our submission was judged to be 4* (the highest score available, for research quality that is world-leading in terms of originality, significance, and rigour).
Among the highlights of the research impact case studies we submitted are:
- the use of rough path theory to improve the effectiveness of machine learning in Chinese handwritten character recognition for mobile phones
- the use of homogenisation theory and asymptotic analysis in the mathematical modelling of filtration to improve the effectiveness of filters in both commercial applications and the removal of arsenic in groundwater contamination
- statistical analysis of Covid-19 epidemiological data in the early days of the pandemic, including the statistical design and analysis of REACT studies for the assessment of community transmission.
Professor Charlotte Deane elected Fellow of the Royal Society
Professor Charlotte Deane MBE, Professor of Structural Bioinformatics in Oxford’s Department of Statistics, has today been announced among the new Fellows of the Royal Society.
OpenBind releases first open dataset and AI model for drug discovery
The OpenBind consortium’s first release of experimental data marks a milestone in efforts to improve how artificial intelligence (AI) is used in drug discovery.
Oxford statisticians take part in PKU–Oxford conference on quantitative finance and data science
Researchers from the University of Oxford’s Department of Statistics were among those taking part in a joint conference with Peking University in April, bringing together academics working across quantitative finance, data science and related areas.