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Sara Khalid

Computational Health Informatics

Sara leads the machine learning and Big Data analytics arm of  Musculoskeletal Pharmaco-epidemiology group in NDORMS, which she joined in 2016. She was previously based at the Institute of Biomedical Engineering (IBME) as a postdoctoral researcher in the Biomedical Image Analysis Lab, and  in the Biomedical Signal Processing and Computational Health Informatics Lab.

Sara completed her DPhil in Engineering Science at the IBME, University of Oxford, as a Rhodes Scholar. She previously received the MSc degree in Biomedical Engineering from the University of Oxford in 2009, as a Qualcomm Scholar.

 Her research interests include signal processing and machine learning, with applications in health informatics such as patient monitoring, telehealth, and observational research.

Sara's thesis explored Bayesian methods for providing early warning of patient deterioration, using time-series physiological data, and developed machine learning methods for multi-class classification of patient abnormalities using vital-sign data acquired from a large study with collaborators in the University of Pittsburgh Medical Centre. Sara led the data collection and statistical analysis of the multi-phase Cancer Hospital Study undertaken in the Cancer Hospital in Oxford, UK.

Teaching and Supervision

Sara teaches the course Statistical Learning in R in collaboration with The Oxford e-Research Centre Advanced Research Computing and the Computer Science Department. She is also a faculty member at the NIHR  BRC course titled Data analysis: Statistics - designing clinical research and biostatistics, orgnanised by the Musculoskeletal Pharmaco-epidemiology group at NDORMS.

Sara is currently supervising two DPhil students and an MSc student, and she is interested in supervision opportunities.

Recent publications

More publications