Statistical machine learning, Information theory

I am a research fellow in the Machine Learning Group @ Cambridge, and at Darwin College. I work on statistical machine learning, focusing on Bayesian nonparametrics and probabilistic learning. My current work is on efficient (both computational and statistical wise) approximate inference methods for black-box style generic inference, with applications in probabilistic programming and nonparametric Bayesian learning (e.g. Dirichlet processes, fragmentation processes).

I completed my PhD in the Machine Learning Group at the University of Cambridge, under the supervision of Zoubin Ghahramani. I was previously supervised by Chris Williams in the Informatics School at Edinburgh University.

The Turing Team


  • Email: hg344 [at]
  • Phone: ‭+44 (0)1223 762438‬
  • Office: James Dyson Building (3rd floor)
  • Post: Darwin College, Silver Street, Cambridge CB3 9EU