Bio
Dr Juliette Unwin is a Lecturer in Statistical Science in the School of Mathematics at the University of Bristol alongside being an Academic Visitor in the Department of Infectious Disease Epidemiology at Imperial College, London. She is an active member of MLGH, the Machine Learning and Global Health Network. She holds a Masters in Engineering from the University of Southampton and a PhD in Engineering from the University of Cambridge.
Research interests
Dr Unwin’s research revolves around developing and applying novel methods for infectious disease outbreak analysis to help inform policy makers in real time. Currently, she focuses on developing spatial temporal renewal based transmission models alongside estimating the number of children affected by COVID-19 and crises. Her research at the Turing focuses on advancing the adoption of Probabilistic Programming languages.