Dr Rosanna Barnard
in Infectious Disease Modelling
I joined the London School of Hygiene in July 2020 as a Research Fellow in Infectious Disease Modelling. I am based within the Department of Infectious Disease Epidemiology, which is part of the Faculty of Epidemiology and Population Health. I work alongside Mark Jit and John Edmunds and number of collaborators within the Centre for the Mathematical Modelling of Infectious Diseases (CMMID), and as part of the CMMID nCov working group. I have recently joined the CMMID seminar organising team as junior organiser, alongside Julian Villabona-Arenas and Kiesha Prem.
Before joining LSHTM I was based at the University of Sussex, where I am now a Research Associate. As well as doing research, I am passionate about research communication, teaching and widening participation in science more generally. For the last few years I have enjoyed teaching evening courses on web development for women as part of Code First: Girls, and in the summer of 2019 I was a speaker at Brighton's Soapbox Science event. I have also taught a number of more formal undergraduate and postgraduate teaching modules at the University of Sussex.
I am interested in using mathematical and statistical techniques to provide better understanding about the real world.
My current work involves using mathematical models in the context of the COVID-19 response. My funding comes from the EU Horizon 2020 EpiPose project. The aim of this project is to provide epidemic intelligence to minimise 2019-nCoV’s public health, economic and social impact in Europe. I am involved in a number of projects utilising SARS-CoV-2 transmission models to understand the key drivers of disease spread as well as provide useful projections to help guide policy responses.
Previously I have enjoyed working on theoretical network-based models in the fields of neuroscience and epidemiology. I am fascinated by the universal nature of networks and the complex nature of the network structures we all engage in throughout our lives. More recently, I have been involved in more applied, data-driven modelling to inform real-world insights.
I am happy to discuss new ideas and projects, so please contact me via email if you would like to set up a virtual coffee or propose a collaboration.
and fast correlations