AI Research Scientist at DeepMind
I am a research scientist at DeepMind. I am particularly interested in theoretical aspects of deep learning, unsupervised representation learning, randomized algorithms, sampling and optimization for large scale learning. I am passionate about the use of AI for conservation. See my Google Scholar profile and some representative papers (organized by topic) below for more. Contact me at bmcw @ google.
Until July 2018 I headed the Deep Learning and Analytics group at Disney Research Zurich. I worked on developing ML algorithms for production quality rendering, image and video processing, contributing to Toy Story 4 and Frozen 2.
Games and Multi-Agent.
Causality and Representation Learning.
Using machine learning to accelerate ecological research"DeepMind is collaborating with ecologists and conservationists to develop machine learning methods to help study the behavioural dynamics of an entire African animal community in the Serengeti National Park and Grumeti Reserve in Tanzania."
S Petersen, et al | blog post