I'm a staff research scientist at Google DeepMind working on problems related to artificial intelligence. My group's research is focused on figuring out how we can get computers to learn with less supervision.

See coverage on Quanta, Ars Technica, and by Stephen Colbert for an overview of our recent work.

Previously I was a post-doctoral researcher at Microsoft Research Cambridge. I did my PhD at the University of Edinburgh, where I was a Carnegie scholar. My supervisor was Christopher Williams.

During my PhD I was also a visiting researcher at Oxford University working with Andrew Zisserman. I also did an internship at Microsoft Research working with John Winn.

I helped organise the PASCAL Visual Object Classes challenge from 2012 to 2015.

Please contact careers@deepmind.com if you would like to apply to DeepMind, and press@deepmind.com if you have press or speaker requests, CC'ing aeslami@google.com in both cases.

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I co-organised the NIPS 2017 workshop on Machine Learning for Creativity and Design, that was held in Long Beach, California on December 8, 2017.

I co-organised the NIPS 2015 workshop on Black Box Learning and Inference, that was held in Montréal, Canada on December 12, 2015.

Curriculum Vitae

Last updated 22 Dec 2015: Short CV, Long CV.