Computer science meets big data and healthcare: a journey from PhD in machine learning to Associate Professorship in labour monitoring
- 14:00 29th November 2022 ( Michaelmas Term 2022 )Lecture Theatre B
This talk will focus on both the career journey and the science behind it, building up to the Oxford Labour Monitoring group that Georgieva is leading. She journeyed from a BSc in Applied Mathematics in Sofia (Bulgaria), through a PhD in Machine Learning and Artificial Neural Networks in Portsmouth (UK), to a junior post-doc at Oxford in fetal monitoring based at the JR Hospital, to now as a successful leader of a multidisciplinary research group, which is about to test for the first time at the bedside her data-driven decision support tool for triage at the onset of labour (the Fit for Labour test). Oxford Labour Monitoring is committed to preventing injury of babies during labour and delivery, caused by lack of oxygen in utero - rare but devastating events. Our work will potentially benefit families, clinicians and healthcare systems by reducing brain injuries, the deaths of babies during labour or after birth and unnecessary medical interventions in childbirth.