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 Yee Whye Teh from the Department of Statistics contributed to the paper, which was co-lead by Mrinank Sharma, who is affiliated with the Department.
The paper, Inferring the effectiveness of government interventions against COVID-19, was published in Science on Tuesday 15th December. Full details can be found here.
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.