Seth Redmond

Dr Seth Redmond is Head of Data Engineering and AI at the Infectious Diseases Data Observatory (IDDO), where he leads the development of scalable systems to structure and standardise heterogeneous, multi-source datasets for modelling and evidence synthesis. His research focuses on structuring and integrating genomic and real-world evidence in public and global health.

He has previously held roles at the Yale School of Public Health, the Harvard T.H. Chan School of Public Health, and the Broad Institute. His research includes sequencing method development to deliver cost-effective, scalable genomic surveillance of respiratory and vector-borne diseases in real-world and resource-limited settings. He has also developed and applied genomic analyses of population structure, pathogen transmission, and vector movement – from local to global scales – to support decision-making in disease control and intervention strategies.