I'm a research scientist at Google DeepMind working on problems related to artificial intelligence.

My research is focused on getting computers to learn accurate, useful and generative models of images. This typically involves a mix of machine learning, deep learning and approximate probabilistic inference.

In 2014 I was a post-doctoral researcher at Microsoft Research Cambridge, and a member of the Machine Learning and Perception group led by Christopher Bishop.

I did my PhD at the University of Edinburgh, where I was a Carnegie scholar. My supervisors were Christopher Williams, Bob Fisher and Amos Storkey.

During my PhD I was also at Oxford University working with Andrew Zisserman, and at Microsoft Research working with John Winn and Nicolas Heess.

Since 2012 I have helped organise the PASCAL Visual Object Classes challenge. In 2014 I also helped run the MSc industry project programme at University College London with Thore Graepel.

NIPS workshop

I'm co-organising the NIPS 2015 workshop on Black Box Learning and Inference, to be held in Montréal, Canada on December 12, 2015. The deadline for abstract submissions is October 2, 2015.

Curriculum Vitae

Last updated 28 Jan 2015: Short CV, Long CV.



Selected talks

Other things