Gabriel Davis Jones

Gabriel Davis Jones is a researcher affiliated with The Queen's College, University of Oxford, and works at the intersection of artificial intelligence and medicine. He serves as a Lead Researcher in the Oxford Martin Programme on Global Epilepsy and a Principal Investigator in the MRC DPFS project focused on AI tools for fetal wellbeing assessment.

• Education: BSc (Hons) in Neuroscience (with an honours year focused on connectomic analysis), Doctor of Medicine (MD) from the University of California, Oxford, and Charité in Berlin, and DPhil from The Queen's College, Oxford.

His research spans two major domains: (1) developing AI-driven tools for maternal and neonatal healthcare using a dataset of 200,000 pregnancies, collaborating with institutions like the Royal Women's Hospital in Melbourne and CareMother India; (2) creating culturally adapted AI solutions for epilepsy diagnosis and treatment in resource-limited settings across Kenya, Ghana, Tanzania, South Africa, and India through the Oxford Martin School Programme. He leverages big data and focuses on scalability and cross-cultural applicability.

Recent publications highlight his technical expertise in machine learning, including few-shot learning methods for physiological signals and region-naïve algorithm generalization. His work also addresses critical clinical challenges like preeclampsia prediction and fetal heart rate monitoring validation.

• Scientific Awards: Clarendon Scholarship, Alan Turing Institute Enrichment Scheme.

Contact: gabriel.jones@wrh.ox.ac.uk | Oxford Digital Health Labs