معرفی
Emma Atakpa is a Senior Researcher in Medical Statistics, Data Science, and Epidemiology at the Nuffield Department of Primary Care Health Sciences, University of Oxford. Her research focuses on developing and validating statistical models for cancer risk prediction, evaluating personalized cancer prevention strategies, and analyzing health inequalities.
- PhD in Medical Statistics (Queen Mary University of London)
- MMath in Mathematics with Economics (University of Sussex)
Her current work includes:
- Assessment of breast cancer endocrine therapy uptake and adherence
- Analysis of cancer patient survival following antibiotic use
- Longitudinal modeling of blood biomarkers and symptoms to predict liver cancer risk
Emma has contributed to large-scale studies on:
- COVID-19 health inequalities
- Immunosuppressed patient monitoring
- Opioid prescribing practices
- Cardiovascular risk prediction tools (QR4)
She actively mentors through:
- Co-supervision of Academic Clinical Fellows at Oxford
- Mentorship in the HDR UK Health Data Science Black Internship Programme
Her expertise spans statistical methodology, health data science, and clinical research translation in primary care settings.
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