Juliette Unwin

Dr. Juliette Unwin holds a dual affiliation: as a Lecturer in Statistical Science at the University of Bristol and an Academic Visitor in the School of Public Health at Imperial College London (Faculty of Medicine). She is based in the MRC Centre for Global Infectious Disease Analysis and the Machine Learning and Global Health Network. Her research focuses on developing spatial-temporal transmission models for infectious disease outbreaks to inform policy in real-time, particularly addressing the impact of crises like COVID-19 on children.

• Education: Background in numerical modeling, with prior fellowships including an Imperial College Research Fellowship and support from the Bill & Melinda Gates Foundation.
• Research Networks: Active in the Machine Learning and Global Health Network, collaborating across the UK, Denmark, Germany, and Singapore.

Her work has contributed to Imperial College’s COVID-19 response team (estimating Rt values) and the 2018 Ebola response team. She previously explored malaria intervention strategies, including pyrethroid resistance and vaccine targeting through mathematical modeling.

• Grants: Gates Foundation grant on malaria policy, Imperial College Fellowship.

Labs/Teams: MRC Centre for Global Infectious Disease Analysis, Machine Learning and Global Health Network.