Runs the Machine Learning & Global Health Network with colleagues from the UK, Denmark, Germany, and Singapore; has worked on application areas including public health, orphanhood, deep learning from satellite and street-level imagery, among others.
Background
Associate Professor at the University of Oxford in the Department of Computer Science and a tutorial fellow of Jesus College. His research focuses on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.
Miscellany
Personal interests include photography (e.g., a photo of waterfowl in Tjörnin, Reykjavik, Iceland).