Charles Rahal

Charles Rahal

Departmental Research Lecturer 


Charles is a social science methodologist and applied social data scientist with a background in high-dimensional econometrics, having completed his PhD in 2016. He is both a Departmental Research Lecturer at the Leverhulme Centre for Demographic Science, and an Associate Member of Nuffield College. As part of his lecturing, he co-convenes Demographic Analysis, Life Course Research, and the Oxford Partner site of the Summer Institute in Computational Social Sciences. He is always interested in hearing from potential co-authors or prospective graduate students who share his enthusiasm for using Python and R.

Charles is particularly interested in unique Big Data origination processes, be they unstructured or otherwise, and is an advocate for open source and reproducible academic research (he currently sits on the Steering Group for Reproducible Research Oxford: RROx). Other current areas of interest include civic technology, applied econometrics (predominantly spatial, time series and model uncertainty), scientometrics, public health, historical demography, and social inequality, mobility and stratification more generally.

Specific projects underway at present include:

  • The culmination of his BA PDF which takes a granular approach to procurement across the NHS;
  • A large scientometric review of the 'Evolution of Science';
  • Work on inequalities in life expectancy across the very long run (the 'Legacy of Longevity');
  • A library to incorporate model selection and influence analysis uncertainty and robustness pipelines;
  • Various projects which analyze the distribution of corporate control

Follow the development of his projects on GitHub, his published academic writings on Google Scholar, and find more information on his academic homepage.


Charles presently teaches 'Python for Sociologists', 'Demographic Analysis', and 'Lifecourse Analyis'. In the past, he's taught modules related to financial econometrics, statistical software, and replication in open social science. He has recently given workshops and guest lectures on the themes of 'An Introduction to Machine Learning' and 'An Introduction to the Command Line'. He is also a co-convenor (with other members of the Department and Nuffield College) of the Oxford partner site of the Summer Institute in Computational Social Science. His teaching materials are available via his academic homepage.