Adam Foster

Adam Foster

Probabilistic inference, probabilistic programming, Bayesian nonparametrics

I am a DPhil student in Statistics at the University of Oxford, supervised by Yee Whye Teh. I got my Bachelor’s and Master’s degrees in mathematics from Cambridge and worked as a machine learning engineer before joining the department. I am interested in statistical machine learning, with a current focus on probabilistic programming.



  • B. Bloem-Reddy , A. Foster , E. Mathieu , Y. W. Teh , Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks, in Conference on Uncertainty in Artificial Intelligence, 2018.


  • B. Bloem-Reddy , E. Mathieu , A. Foster , T. Rainforth , H. Ge , M. Lomelí , Z. Ghahramani , Y. W. Teh , Sampling and inference for discrete random probability measures in probabilistic programs, NIPS Workshop on Advances in Approximate Bayesian Inference, 2017.