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Emily McFadden

MA (Cantab), MSc, PhD (Cantab)


Departmental Lecturer and Senior Statistical Epidemiologist

  • Fellow, Kellogg College

My research focuses on the use of large routine databases in medical research and research design.  I am co-Principal Investigator (with Clare Goyder) and leading the methodology for REDUCE-HF, an NIHR SPCR funded collaborative project using electronic health records data, machine learning and community co-production to reduce inequalities in the primary care diagnosis of heart failure.  I am also co-Principal Investigator (with Rebekah Burrow) for an NIHR SPCR funded project on the use of nipple shields to support breastfeeding. 

I am the coordinator (with deputy coordinator Margaret Smith) for the Big Data Epidemiology module for the Evidence Based Healthcare Programme at the Department for Continuing Education in collaboration with the Centre for Evidence Based Medicine and I teach on other selected modules.  I am deputy coordinator (with coordinator Margaret Smith) for the new short course, Medical Statistics for Big Data, first running in July 2026. Previously I coordinated the Introduction to Study Design and Research Methods module with Clare Bankhead and the Evidence Based Medicine theme for year 4 medical students.  I supervise DPhil and MSc students and would be happy to hear from prospective students with an interest in routinely collected healthcare data. 

I have been involved in the Research Data Governance process for the Clinical Practice Research Datalink (CPRD) for over 10 years, and am currently the Chair of one of the Expert Review Committees and member of the Central Advisory Committee (CAC).