What I do

I’m the Head of Data & Research at Our World in Data (OWID), an online publication based out of the University of Oxford that focuses on large problems such as global health, poverty, climate change, education, human rights, economic development, and technological progress.

I manage a team of data scientists and researchers who make these big problems – and their possible solutions – more accessible and understandable through articles and data visualizations. All our work is free and open access. Find out more about OWID and our mission.

From 2020 to 2022, I led our work on the COVID-19 pandemic – most notably our Data Explorer, our global data on vaccinations used by most media organizations and international institutions, and our open source dataset with 60+ metrics on the country-by-country evolution of the pandemic.

Before joining OWID in 2020, I previously worked as a data scientist at the University of Oxford in the departments of Population Health and Primary Care Health Sciences; and as a data science consultant in the private sector.

For an overview of my background, the work of our team at OWID, and the principles we follow to make research and data more understandable and accessible, you can listen to the following:

Donation pledge

In 2018, I took the donation pledge of Giving What We Can, committing to give 10% of my income for the rest of my life to organizations that can most effectively use it to improve the lives of others. Currently, my donations are evenly split between GiveDirectly’s cash transfers to families in extreme poverty and GiveWell’s Top Charities.


Since 2020 · Our World in Data · Head of Data & Research

2018–2020 · Neoxia · Lead Data Scientist

2019–2020 · OpenClassrooms · Data Science Mentor

2015–2018 · University of Oxford · Data Analyst/Scientist

2012–2015 · La Netscouade · Social Media Analyst

2011–2012 · Europe Ecology–The Greens · Social Media Manager


2011–2013 · Sciences Po Paris · Master’s degree in market research

2008–2011 · Sciences Po Paris · Bachelor’s degree in humanities and social sciences


🔗 Google Scholar profile

May 2024 · Herre, B., Rodés-Guirao, L., Mathieu, E., Ritchie, H., Giattino, C., Hasell, J., Dattani, S., Ortiz-Ospina, E., & Roser, M. (2024). Best practices for government agencies to publish data: Lessons from COVID-19. The Lancet Public Health.

Jun. 2023 · Blauer Beth, Brownstein John, Gardner Lauren, Kraemer Moritz UG, Leiva Rioja Zoila, Mathieu Edouard, Redies Isabel, Morgan Oliver W. Innovative platforms for data aggregation, linkage and analysis in the context of pandemic and epidemic intelligence. Euro Surveill. 2023;28(24):pii=2200860. []

Apr. 2023 · How does age standardization make health metrics comparable? []

Dec. 2022 · Charlie Giattino, Edouard Mathieu, Julia Broden and Max Roser (2022) - “Artificial Intelligence” []

Jul. 2022 · Five key findings from the 2022 UN Population Prospects []

Jun. 2022 · Monkeypox Data Explorer []

Jun. 2022 · Space Exploration and Satellites []

Mar. 2022 · Commit to transparent COVID data until the WHO declares the pandemic is over. Nature 602, 549 (2022). []

Jan. 2022 · How do key COVID-19 metrics compare to previous waves? []

Nov. 2021 · How do death rates from COVID-19 differ between people who are vaccinated and those who are not? []

Sep. 2021 · Which countries are on track to reach global COVID-19 vaccination targets? []

May 2021 · Mathieu, E., Ritchie, H., Ortiz-Ospina, E. et al. A global database of COVID-19 vaccinations. Nature Human Behaviour 5, 947–953 (2021). []

Jan. 2021 · State-by-state data on COVID-19 vaccinations in the United States []

Dec. 2020 · Statistics and Research: Coronavirus (COVID-19) Vaccinations []

Nov. 2020 · Why do COVID-19 deaths in Sweden’s official data always appear to decrease? []

Oct. 2020 · Hasell, J., Mathieu, E., Beltekian, D. et al. A cross-country database of COVID-19 testing. Nature Scientific Data 7, 345 (2020). []

Apr. 2020 · Statistics and Research: Coronavirus (COVID-19) Testing []

Apr. 2020 · le Signal et le Bruit, a newsletter dedicated to questions relating to data and artificial intelligence [, in French]

Mar. 2020 · The best books on Historical Change and Economic Ideology, recommended by Thomas Piketty []

Jul. 2019 · The best books on Learning Python and Data Science, recommended by Vicki Boykis []

Jun. 2019 · Gibson LM, Nolan J, Littlejohns TJ, Mathieu E, Garratt S, Doherty N, et al. (2019) Factors associated with potentially serious incidental findings and with serious final diagnoses on multi-modal imaging in the UK Biobank Imaging Study: A prospective cohort study. PLoS ONE 14(6): e0218267. []

Apr. 2019 · Lay-Flurrie, S., Mathieu, E., Bankhead, C. et al. Patient consultation rate and clinical and NHS outcomes: a cross-sectional analysis of English primary care data from 2.7 million patients in 238 practices. BMC Health Services Research 19, 219 (2019). []

Mar. 2019 · Big data: are we witnessing the emergence of “full-stack” data expertise? [, in French]

Oct. 2018 · The best books on Data Science, recommended by Roger D. Peng []

Sep. 2018 · The best books on Existential Risks, recommended by The Centre for the Study of Existential Risk []

Sep. 2018 · The best modern Japanese literature, recommended by Linda Flores []

Aug. 2018 · The best books on Computer Science for Data Scientists, with Hadley Wickham []

Apr. 2018 · The best books on Computer Science and Programming, with Ana Bell []