PLANETARY HEALTH INFORMATICS
Planetary Health research looks at how human health is linked to changes in the natural environment. Using tools such as AI, satellite imagery and real-world data we focus on understanding how climate and environmental changes affect health including chronic and infectious diseases, and identifying the causes of health inequalities across different populations and countries.
Applying machine learning to clinical diagnostics and prognostics to improve health.
We used our data analysis experience and real-world evidence to respond to the Covid crisis.
Latest news
-
Fair and Safe Medical AI: why local expertise matters
16 March 2026
-
Wellcome Accelerator Award for Sara Khalid
17 September 2025
Our publications
Latest publications
Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.
Journal article
Pineda-Moncusí M. et al, (2024), Sci Data, 11
Predicting malaria outbreaks using earth observation measurements and spatiotemporal deep learning modelling: a South Asian case study from 2000 to 2017.
Conference paper
Nazir U. et al, (2024), Lancet Planet Health, 8 Suppl 1
Changes in air pollution exposure after residential relocation and body mass index in children and adolescents: A natural experiment study.
Journal article
Warkentin S. et al, (2023), Environ Pollut, 334
Our team
-
Sara Khalid
Associate Professor of Health Informatics and Biomedical Data Science
-
Marta Pineda
Postdoctoral research assistant in Health Data
-
Arani Vivekanantham
NIHR Doctoral Research Fellow and DPhil candidate
-
Antonella Delmestri
Lead Health Data Scientist
-
Qingze Gu
Postdoctoral Health Data Scientist
-
Usman Nazir
Postdoctoral Data Scientist in Climate and Health Analytics
-
Ramla Khan
Postdoctoral Data Scientist in Climate and Health Analytics
-
Alireza Hasheminasab
Lead Computational and AI/ML Research Scientist
-
Rabia Khan
DPhil student