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Céire Costelloe is the Chair of Health Informatics at Imperial College London’s School of Public Health and a Visiting Professor of Health Informatics at the Institute of Cancer Research. She specializes in medical statistics and digital health, focusing on applying real-world healthcare data to improve patient outcomes and inform health policy. Her research emphasizes digital health innovation, antimicrobial resistance, and infectious disease surveillance. Leading the Global Digital Health Unit at Imperial, Céire has developed data-driven solutions for clinical practice and has held consecutive NIHR fellowships, including a prestigious Career Development Fellowship. She employs advanced methods for evaluating healthcare interventions using observational data and causal inference methodology. Currently, she leads NIHR-funded research on sepsis, creating predictive models and digital tools to enhance early diagnosis and patient care. Additionally, she collaborates with industry partners, exploring the role of app-based AI-driven mental health support tools for improving patient engagement outcomes. In her academic career, Céire has influenced UK and EU antibiotic prescribing guidelines through her work and research on digital health innovations. She completed her PhD in Immunology at Trinity College Dublin and her MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine.
Imperial College London • London, United Kingdom
Leading research in health informatics and digital health solutions.
Imperial College London, School of Public Health • London, United Kingdom
Oversaw the Global Digital Health Unit and developed data-driven health solutions.
Imperial College London • London, United Kingdom
Taught courses in medical statistics.
Queen Mary University of London, Centre Primary Care Public Health • United Kingdom
Focused on medical statistics and public health research.
Institute of Cancer Research • London, United Kingdom
Conducting research in health informatics and digital health tools.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.