I am an associate professor at the University of Oxford in the Department of Computer Science and a tutorial fellow of Jesus CollegeMy research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science. I’ve worked on application areas that include public health, orphanhood, deep learning from satellite and street-level imagery, crime, voting patterns, filter bubbles / echo chambers in media, the big data paradox, and the regulation of machine learning algorithms.


Together with colleagues in the UK, Denmark, Germany, and Singapore I run the Machine Learning & Global Health Network.

Logo for the Machine Learning & Global Health network

Watch a video about my work with my colleague Professor Lucie Cluver (Oxford’s Department of Social Policy and Intervention)