Ryan Faulkner: Computer Science - McGill

As of April 2015 I have joined Deepmind as a Research Engineer in London, UK.

I completed my Masters degree at McGill University in Montreal, Quebec in Fall of 2010 where I was a member of the Reasoning and Learning lab. I subsequently worked as a Research Analyst for the Wikimedia Foundation (2010-2013) and then as an Analytocs and Data Engineer at Flickr (2013-2015) in San Francisco CA.

Research

 

My primary academic research interests lay broadly in Deep Learning and Reinforcement Learning. In particular, I'm focused on the study of memory and recurrent neural network architectures, graph neural networks, meta-learning, language and latent representations. My prior research involved using deep belief networks to simulate domains for control in reinforcement learning problems.