Dr Yangmei Li
Contact information
Yangmei Li
MPhil, PhD
Senior Data Scientist
Yangmei Li is a Senior Data Scientist in the Health Outcomes Enhancement team at UK Biobank, Nuffield Department of Population Health, University of Oxford. She leads a programme of work focused on enhancing the phenotyping of health outcomes and developing high-quality, research-ready health outcomes variables for the global research community.
She studied Preventive Medicine at Peking University, before completing an MPhil in Epidemiology and a PhD in Public Health and Primary Care at the University of Cambridge. After her PhD, she joined the National Perinatal Epidemiology Unit, where she worked on a range of research projects with the NIHR Policy Research Unit in Maternal and Neonatal Health and Care (PRU-MNHC), with a focus on policy impact. Her expertise lies in managing and analysing large, complex observational and electronic healthcare datasets, including the Clinical Practice Research Datalink (CPRD) and the Birthplace national cohort dataset, to generate insights that improve maternal and infant care.
Her research interests include health inequalities, the use of routine electronic healthcare data, diabetes, pre-pregnancy and postnatal health, ethnic variations in health outcomes, preterm birth nutrition, and the safety of birth settings.
Recent publications
Enhancing Health Outcomes in Linked Administrative Data: Development and Validation of an Open-Access Mapping Resource using UK Biobank
Conference paper
Domzaridou E. et al, (2025)
Maternal postpartum six-week check and short-term health outcomes for women with hypertensive disorders in pregnancy: An observational study using the Clinical Practice Research Datalink (CPRD).
Journal article
Ramakrishnan R. et al, (2025), Acta Obstet Gynecol Scand, 104, 937 - 947
Pre-pregnancy care in general practice in England: cross-sectional observational study using administrative routine health data.
Journal article
Li Y. et al, (2025), BMC Public Health, 25
Data Note: Addressing uncertainty in identifying pregnancies in the English CPRD GOLD Pregnancy Register: a methodological study using a worked example
Journal article
Li YANGMEI. et al, (2025), International Journal of Population Data Science
ddressing uncertainty in identifying pregnancies in the English CPRD GOLD Pregnancy Register: a methodological study using a worked example.
Journal article
Li Y. et al, (2025), Int J Popul Data Sci, 10
