Research groups
Websites
-
EHDEN
European Health Data & Evidence Network
-
HDRUK
Health Data Research UK
-
OHDSI
Observational Health Data Sciences and Informatics
-
National Geographic Society
Early Career Explorer
-
OPTIMA
Tackling cancer with artificial intelligence and real-world data
-
UKRI NERC
Creating Digital Environments
-
Centre for Statistics in Medicine
Research Group
-
ATLAS Programme
ATLAS -Enhanced Recovery for Arthroplasty Patients
-
STAR Programme
STAR - Support and Treatment After Replacement
Colleges
Sara Khalid
BE, MSc (Oxon), DPhil
Associate Professor of Health Informatics and Biomedical Data Science
- Group Head - Planetary Health Informatics, Centre for Statistics in Medicine
- Senior Research Fellow in Biomedical Data Science and Health Informatics
- Machine Learning Lead - Pharmaco-device Epidemiology Group, NDORMS
- UKRI NERC Senior Fellow in Creating Digital Environments
- National Geographic Explorer - Remote Monitoring and Machine Learning
- Ambassador for Women in Data Science - University of Oxford
Health Informatics, Intelligent Patient Monitoring, Planetary Health, Real-world Data Science
RESEARCH
Sara leads the Planetary Health Informatics Group at the Centre for Statistics in Medicine (Oxford) and the Machine Learning and Big Data Team of the Health Data Sciences Section in NDORMS (Oxford) which she joined in 2016. She is also affiliated with the Institute of Biomedical Engineering (Oxford) where she completed her doctoral and post-doctoral research in the Biomedical Signal Processing and Image Analysis Groups.
Her research applies artificial intelligence to international real-world health data, in order to further our understanding of disease and fills the gaps in global health, leveraging common data models and federated network analytics. She works closely with clinicians, engineers, clinical and environmental epidemiologists, conservationists, data scientists, and public and patient groups in the UK, Europe, Latin America, South Asia, and Africa to co-create models for equitable and ethical solutions for planetary health problems.
Sara completed her DPhil in Engineering Science at the IBME, University of Oxford, as a Rhodes Scholar. Prior to that she received a Distinction for her MSc in Biomedical Engineering from the University of Oxford in 2009, as a Qualcomm Scholar. In 2007 she graduated with a BE in Electronics Engineering from the National University of Sciences and Technology in Pakistan.
Teaching and Supervision
Sara teaches a number of health data science courses at NDORMS and University-wide, and is Director of the "Observational health data science: epidemiology, machine learning, and health economics" course. She is also a faculty member at the NIHR BRC course "Data analysis: statistics - designing clinical research and biostatistics", and the "Real-world epidemiology with OMOP common data model" summer school organised by the Health Data Science Section at NDORMS.
Sara supervises a number of research students including DPhil and MSc students at Oxford, as well as UK and overseas PhD students. Interested students are welcome to get in touch.
Recent publications
-
Conference paper
KHALID S. et al, (2023)
-
Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia
Conference paper
KHALID S. et al, (2023)
-
Preprint
KHALID S. et al, (2023)
-
Machine Learning for Risk Factor Identification and Cardiovascular Mortality Prediction Among Patients with Osteoporosis
Conference paper
Hasheminasab A. et al, (2023)
-
Journal article
Warkentin S. et al, (2023), Environmental pollution, 122217 - 122217
-
Preprint
Small SR. et al, (2023)
-
Preprint
Small SR. et al, (2023)
-
Classification of patients with osteoarthritis through clusters of comorbidities using 633,330 individuals from Spain
Journal article
Pineda Moncusi M. et al, (2023), Rheumatology
-
Journal article
Du M. et al, (2023), Front pharmacol, 14
-
Journal article
Grayson PC. et al, (2022), Ann rheum dis, 81, 1654 - 1660