Welcome to my academic homepage! I’m an Associate Professor in Data Science and Informatics at the University of Oxford, and a former British Academy Postdoctoral Fellow. I maintain various open and interactive online projects, such as the GWAS Diversity Monitor and RobustiPy, and I am also active in the Open Science movement. I am a Co-Investigator\Principle Investigator on various projects across the University. I sit on a Methods Advisory Group for the ONS, consult for the Banco de la República, and I am fortunate enough to be both an Associate Member at Nuffield College and a Researcher at the Gradel Institute. Find me on Bluesky. A copy of my CV can be found here. Some time soon, I’ll be launching the Computational Methods for Health and Social Science (CMHSS) lab and associated reading group.

Primary Interests

• Methodology; specifically model uncertainty, responsible research, machine and deep learning related to health and social science.
• Applied Data Science; ‘unstructured data’ found ‘in the wild’.
• Scientometrics; data analysis of the scientific record at scale.

Research

With many thanks to some truly excellent co-authors, my work has recently been published or is forthcoming in: Nature Computational Science, PLOS ONE, Journal of Computational Social Science, Journal of the Royal Statistical Society: Series A, Psychometrika, Nature Climate Change, AI & Society, Population Studies, the International Journal of Epidemiology, Nature Genetics, the new Nature sub-journal Communications Biology, the American Sociological Review, Nature Human Behaviour, the International Journal of Population Data Science, Kyklos, the Journal of Housing Economics and Computational Economics. Find the code for those papers on GitHub here.

Teaching

I currently lead on teaching in Population Data Science in various forms. I have previously taught Demographic Analysis, Life Course Research, Replication and Transparency in Open Social Science (a replication project and accompanying discussion group), Python for Sociologists, Econometrics with Financial Applications, and An Introduction to Econometric Software. I also give guest lectures and workshops on ‘An Introduction to the Command Line’, ‘Machine Learning for Social Scientists’, the LaTeX typesetting language, and help to co-convene various summer and autumn schools (e.g. SICSS-Oxford, OxBer, CFC). Recently, I have begun to teach `Python for Data Science’ in an international context.

Prospective Students

I currently supervise methodologically advanced students in various areas of computational science. I am increasingly looking to supervise students in the area of large-scale scientometric analysis and, seperately, deep learning applications for health and social science. If you would be interested in potentially joining our team, please don’t hesitate to get in touch.

Last updated: 23rd February, 2025.