Lecturer in Statistical Science, School of Mathematics, University of Bristol

Juliette Unwin is a Lecturer in Statistical Science in the School of Mathematics, University of Bristol. She holds degrees from the University of Southampton (MEng Mechanical Engineering) and the University of Cambridge (PhD Engineering). She is interested in developing and applying novel methods for infectious disease outbreak analysis to help inform policy makers in real time. She has been part of the Imperial College Response Team using modelling to inform policy during the 2018-2020 Ebola Outbreak in the Democratic Republic of Congo and the COVID-19 pandemic.

Juliette’s current research focuses on developing spatial temporal renewal based transmission models alongside estimating the number of children affected by COVID-19 and crises. She is an active member of the Machine Learning and Global Health Network, which is a network of academics across the UK, Denmark, Germany and Singapore doing applied and methodological research in the field of Global Health. She is also a member of the UK Young Academy.