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Nathalie Conrad

Nathalie Conrad

Contact information


nathalie.conrad@wrh.ox.ac.uk

Funding

The Wellcome Trust, The British Heart Foundation, The European Union (Marie Skłodowska-Curie Actions), The Research Foundation Flanders (FWO).

Nathalie Conrad

MSc, DPhil, FESC

Associate Professor

Research

Prof. Nathalie Conrad is Associate Professor in health data science and epidemiology.

Prof. Conrad’s group focuses on large-scale data analyses to study cardiovascular disease epidemiology, disease trajectories and risk factors, with a particular focus on women’s cardiovascular health. Projects include investigations of women-specific risk factors in the development cardiovascular diseases, or the role of maternal health in the development of offspring congenital heart defects. 

Key studies by Prof. Conrad and her group include research on cardiovascular risks in patients with autoimmune diseases, autoimmune disease epidemiology, long-term trends in cardiovascular disease burden, or the epidemiology of heart failure, investigating how sex and socio-economic differences impact disease incidence, care delivery and outcomes. 

Prof. Conrad holds a PhD in medical sciences from Oxford University, an engineering Master’s degree from the Swiss Federal Institute of Technology (ETH Zurich), and previous work experience as a data analytics consultant at IBM.

Key publications

Gout and incidence of 12 cardiovascular diseases: a case–control study including 152 663 individuals with gout and 709 981 matched controls

Journal article

Ferguson LD. et al, (2024), The Lancet Rheumatology, 6, e156 - e167

Trends in cardiovascular disease incidence among 22 million people in the UK over 20 years: population based study

Journal article

Conrad N. et al, (2024), BMJ

Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UK

Journal article

Conrad N. et al, (2023), Lancet, 401, 1878 - 1890

Autoimmune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK

Journal article

Conrad N. et al, (2022), The Lancet, 400, 733 - 743

Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individuals

Journal article

Conrad N. et al, (2018), The Lancet, 391, 572 - 580

Recent publications

A transformer-based survival model for prediction of all-cause mortality in patients with heart failure: a multi-cohort study

Journal article

Rao S. et al, (2026), Npj Digital Medicine, 9

European Society of Cardiology: cardiovascular disease statistics 2025.

Journal article

Timmis A. et al, (2026), European heart journal

Prediction of incident heart failure in established atherosclerotic cardiovascular disease: the SMART2-HF model.

Journal article

Reitsma TH. et al, (2026), Eur Heart J

First trimester maternal infections and offspring congenital heart defects: a meta-analysis

Journal article

Su H. et al, (2026), European Heart Journal, 47, 794 - 812

Association between healthy plant-based diet-lifestyle (hPDI-Lifestyle) score and incidence of coronary heart disease, and effect modification by genetic predisposition: a prospective analysis in a population-based cohort

Journal article

Wang XJ. et al, (2026), Lancet Regional Health Europe