Learning from Big Data for Health

This theme focuses on the use of large, distributed, heterogeneous data sources such as EHRs, patient registries with linked genomic data, and person-generated content (e.g. from smartphone/wearables and social network activities), to address major public health challenges, such as reducing inequalities in life expectancy.

Projects will be supported by partners including the Office of the London Mayor, King's College Hospital (KCH), Harvard and 100k Genomics England. We will research privacy-preserving distributed software engineering approaches that avoid the need to share patient-level data for analysis and ensure full auditability of the analytics task.