Data-driven clinical decision-support tools in labour and their implementation into maternity wards
Bio: Prof Antoniya Georgieva holds a PhD in AI and is a world-leading researcher in large-scale maternity data, data-driven continuous fetal monitoring and fetal risk assessment. She is currently leading on three relevant grants (NIHR, EPSRC, Wellcome LEAP). She is the lead of Oxford Labour Monitoring group (www.wrh.ox.ac.uk/research/oxfordlabourmonitoringgroup) which is committed to developing technologies to help clinicians prevent harm to babies during childbirth.

She has obtained a BSc(Hons) in Applied Mathematics from the Technical University of Sofia (Bulgaria) and a PhD in Computer Science from Portsmouth University. She joined the Nuffield Department of Obstetrics and Gynaecology (now Women’s and reproductive health) and the Institute of Biomedical Engineering at Oxford for a post-doctoral position in 2007. In 2016, she was awarded a NIHR Career Development Fellowship to grow her independent research group in the multidiscipliniary field of developing new technologies for continuous fetal risk assessment. In the same year, she became a Research Fellow at Wolfson College and also joined the newly formed Big Data Institute at Oxford.

At Wolfson College, she leads the Cross-disciplinary Machine Learning (XML) Cluster which brings together researchers across different disciplines to share and learn about the impact of machine learning in their respective fields.
Date: 8 November 2023, 14:00 (Wednesday, 5th week, Michaelmas 2023)
Venue: Big Data Institute, Old Road Campus OX3 7LF
Venue Details: Seminar Room 0
Speaker: Dr. Antoniya Georgieva (University of Oxford)
Organising department: Big Data Institute (NDPH)
Organisers: Sumeeta Maheshwari (University of Oxford), Aiden Doherty (University of Oxford)
Organiser contact email address: sumeeta.maheshwari@ndph.ox.ac.uk
Part of: Digital Phenotying
Booking required?: Required
Booking url: https://forms.office.com/e/az2yJALnWg?origin=lprLink
Booking email: sumeeta.maheshwari@ndph.ox.ac.uk
Cost: free
Audience: Members of the University only
Editor: Sumeeta Maheshwari