Oxford Statistics researchers Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh and Arnaud Doucet has received an Outstanding Paper Award at NeurIPS 2022, the key conference in Machine Learning and Artificial Intelligence. Their paper Riemmanian Score-Based Generative Modeling generalizes score-based generative model (SGM) from Euclidean space to Riemannian manifolds by identifying major components that contribute to the success of SGMs. The method is both a novel and technically useful contribution.
This is a fantastic achievement, as only 13 papers out of over 8,000 submissions received such an award. Oxford University
Finding a needle in the genomic haystack: Targeting rare genes using statistical outliers
In statistical modelling, extreme outliers are often written off as 'noise'. But a new study by researchers from Oxford's Department of Statistics and Big Data Institute published this week in The American Journal of Human Genetics reverses that principle, using these outliers as the basis of a targeting system for locating rare, high-impact genetic mutations.
Professor Ben Lambert wins MPLS Research Supervision Award
Professor Ben Lambert has won a 2025/26 Mathematical, Physical and Life Sciences (MPLS) Award for Outstanding Research Supervision, recognised for his exceptional dedication to supporting researchers at every stage of their development.
Brian Ripley recognised in $1 million Rousseeuw Prize for contributions to the R Project
Professor Brian Ripley, Emeritus Professor of Applied Statistics and former Head of the Department of Statistics at the University of Oxford, has been named as one of five laureates of the 2026 Rousseeuw Prize for Statistics.