Senior Research Fellow; Lecturer
I am a Senior Research Fellow in Modelling Infectious Diseases within Christophe Fraser's Pathogen Dynamics Group at The Big Data Institute within University of Oxford and a Lecturer in Probability and Statistics at The Queen's College at the University of Oxford. I am also affiliated with The Wolfson Centre of Mathematical Biology within the Mathematical Institute at Oxford University.
My research combines mathematical and statistical methods with data analysis and numerical simulations to answer questions in infectious disease and public health. I have over nine years experience of modelling infectious diseases. Since the onset of the COVID-19 pandemic, I have been actively modelling the transmission of SARS-CoV-2 variants using agent-based models (ABMs) as well as SEIR-models and statistical methods. My research has timely advised policy decision bodies in the UK at different decision junctions. Notably, my modelling findings have been used by the Scientific Pandemic Influenza Group of Modelling (SPI-M), the Scientific Advisory Group for Emergencies (SAGE) as well as NHS Test and Trace. I have also been working closely with researchers within the UK Health Security Agency in answering imminent and emerging questions around controlling COVID-19 resurgence - including the recent Omicron rise.
I am also a Fellow of The Institute of Mathematics and its Applications, of The Royal Statistical Society and of The Royal Society for Public Health. I am actively involved in promoting mathematics and statistics as well as other STEM subjects across schools in the UK.
Responsive modelling of the mpox epidemic in England as a cross-government and academia collaboration: the process, challenges, and lessons learned.
Panovska-Griffiths J. et al, (2023), The Lancet. Microbe