University of Cambridge
UCL
Aja HuangSenior Staff Research Scientist · Google DeepMindResearcher↗
Researcher
Simon Osindero
Google DeepMindDirector of Research
Career & education
Current roleGoogle DeepMind2016-presentDirector of Research
Google DeepMind2016-presentPreviously
Yahoo2013-2015
Yahoo2013-2015Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations75,444As of Nov 7, '26
citations+7,368Since last snapshot, Jun 15, '26
Selected contributions
A fast learning algorithm for deep belief nets
With Geoffrey Hinton and Yee Whye TehMade deep networks easier to train by teaching them one layer at a time.
Training Compute-Optimal Large Language Models
With Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de las Casas and others ·Chinchilla showed how smaller models trained on more data can better use a fixed computing budget.
Genie: Generative Interactive Environments
With Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai and others ·Genie learns from videos to turn an image into a controllable virtual world.
References
- A Fast Learning Algorithm for Deep Belief Netscs.toronto.edu
Original coauthored 2006 paper introduces efficient layer-wise training of deep belief networks.
- Training Compute-Optimal Large Language Modelsarxiv.org
Original Chinchilla coauthorship and compute-optimal model/data balance.
- Genie: Generative Interactive Environmentsarxiv.org
Original Genie coauthorship; learns from unlabeled videos and generates controllable worlds.
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Reviewed August 9, 2026 · Checked for accuracy and new information.
