Dr Anna Moore is an Assistant Professor in Child and Adolescent Psychiatry and Medical Informatics at the University of Cambridge, and a UKRI Future Leaders Fellow. She is a practising child psychiatrist and a data scientist whose work sits at the intersection of clinical care, artificial intelligence, and population-scale data infrastructure.
Anna leads CADRE (the Child & Adolescent Data Resource) — a pioneering, multi-agency, longitudinal data platform for children and young people aged 0–24. CADRE brings together linked genomic, clinical, environmental and social data to create one of the most comprehensive real-world research resources for paediatric health in the UK. Designed as a federated, scalable infrastructure across multiple regions, CADRE enables secure, privacy-preserving data linkage across health, education and social care systems, supporting both discovery science and direct clinical translation.
Her research focuses on how AI and advanced analytics can transform early detection, stratification and personalised treatment of childhood health problems — including neurodevelopmental conditions and mental health disorders — long before crises emerge. By integrating gene × clinical × environment × social data, CADRE makes it possible to move beyond siloed diagnosis toward dynamic risk modelling, prevention, and precision intervention pathways.
In addition to enabling population-level insights, CADRE is designed as a trial-ready infrastructure. The platform supports feasibility assessments, cohort discovery, and targeted recall into paediatric clinical trials — accelerating recruitment, reducing inequities in access to innovation, and enabling more representative and efficient R&D across the life course.
Anna works closely with NHS partners, policymakers and industry to ensure that data science translates into measurable service improvement. She believes that investing in data-enabled R&D in the early years has a multiplier effect: transforming child health not only improves immediate outcomes, but reshapes health trajectories across the lifespan.
Her work represents a new model of paediatric research infrastructure — one that combines AI, genomics, and real-world data to build preventative, personalised and scalable systems of care for the next generation.