Main News
IMPUTE – a powerful new statistical tool for identifying ‘disease genes’
Find out more about IMPUTE, a powerful new statistical tool for identifying ‘disease genes’
PER Case Study: Understanding Covid-19 Transmission, Informing Control
Read about the animation that Prof Christl Donnelly and DPhil student Emmanuelle Dankwa produced around research into Covid-19 transmission.
OxUSC presents at the RSS Oxford local group meeting on 13 July 2022
In this talk with both in-person and remote participants, Cora Mezger, Maria Christodoulou, and Mariagrazia Zottoli discussed different pathways into academic statistical consultancy and provided insights into the day-to-day of OxUSC’s work.
PER Case Study: Catapult Correlation
Find out about the Catapult Correlation activity that three STATML students took to the Oxford Maths Festival.
Statistical expertise in drug discovery
A freely-available suite of statistical tools developed at the University of Oxford is providing major companies with valuable tools for drug discovery.
Queen's Birthday Honours: Professor Charlotte Deane receives MBE
Professor Charlotte Deane receives MBE in the Queen's Birthday Honours.
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) in REF 2021.
Predicting human displacement post disaster
Using statistics to harness datasets and sources to validate risks and decision models for the humanitarian sector.
Predicting Proteins in Three Dimensions
Professor Charlotte Deane and her team re-evaluated FREAD, a database search program and loop-modelling algorithm, and developed this into a new program, pyFREAD.