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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
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
