Main News
Modelling the impact on children of caregiver deaths from COVID-19
An international team has come together to assess the impact of COVID-19 deaths of parents or caregivers on children. The team includes Professor Christl Donnelly, and the results of their work is published in the Lancet.
MPLS Impact Awards 2021: Two winners in Statistics
We are delighted to announce that two researchers from the Department of Statistics have won awards in this year’s Divisional Impact Awards scheme: Christl Donnelly and Matthew Raybould.
Professor Alison Etheridge appointed new CMS Chair
Oxford Statistician and Mathematician Professor Alison Etheridge has been appointed Chair of the Council for the Mathematical Sciences
'Science' publishes new paper on Inferring the effectiveness of government interventions against COVID-19
Researchers at Oxford have found that limiting gatherings to fewer than 10 people and closing educational institutions were among the most effective non-pharmaceutical interventions at suppressing transmission of COVID-19.
Professor Chris Holmes to co-lead a new Statistical Modelling and Machine Learning Lab
Professor Chris Holmes, The Alan Turing Institute’s Programme Director for Health and Medical Science, and Professor of Biostatistics in Genomics at the Department of Statistics and the Nuffield Department of Clinical Medicine, will co-lead a new Statistical Modelling and Machine Learning Lab.
Professor Gesine Reinert elected to the Council of the Royal Statistical Society
We congratulate Gesine Reinert on her election to the Council of the Royal Statistical Society.
Professor Christl Donnelly awarded the Frink Award
Many congratulations to Professor Christl Donnelly who has been awarded The Zoological Society of London's premier award, the Frink Award, for significant and original contributions by a professional zoologist to the development of zoology.
Professor Charlotte Deane contributes to new Royal Society of Chemistry Digital Futures report
Professor Deane was one of a panel of experts contributing to the RSC report, which sets out a vision for how digital technologies will enable and accelerate scientific discovery and solutions to global challenges.
Success of test, trace and isolate programmes depends on speed, compliance and monitoring
Professor Yee Whye Teh, from The Department of Statistics, joined a panel briefing at the Science Media Centre to discuss some of the work of The Royal Society's DELVE group (Data Evaluation and Learning for Viral Epidemics) who are reviewing Test, Trace, Isolate evidence from around the world.