Dr Angela Noufaily

I am Lecturer in Statistics with methodological and applied expertise in epidemiological surveillance, randomised clinical trials, distribution theory, and survival analysis. My work spans numerous methodological research studies, and my statistical leadership is central to the success and publication of several multidisciplinary projects.

Recognised internationally as an expert in statistical outbreak detection, I have a long-standing collaboration with the UK Health Security Agency (UKHSA) since 2011. This collaboration has produced significant advancements in UKHSA’s infectious disease surveillance algorithms, published in leading journals including Statistics in Medicine and JASA. Recent work evaluating UKHSA’s syndromic surveillance algorithm was published in Bioinformatics. Collaborative research with the Conservatoire National des Arts et Métiers (CNAM) in Paris has further extended the application of these detection methods to sick-leave–based outbreak monitoring.

I have contributed to a wide range of clinical trials, feasibility studies and other research projects, including cardiology, respiratory, mental health and oncology studies. During the COVID-19 pandemic, my statistical research contributed to understanding and controlling the virus. Analyses of early hospitalised COVID-19 patient data were published in Clinical Medicine and selected from over 1,000 submissions for the United European Gastroenterology National Scholar Award. Additional work included research on public attitudes towards vaccination in Great Britain and the statistical analysis of a clinical trial investigating an antiviral treatment for COVID-19.

Since 2015, my collaboration with colleagues at the University of Limerick and The Open University has advanced research in survival analysis, including modelling of hepatocellular carcinoma biomarker data and methodological developments in parametric proportional hazards and proportional odds frameworks.