University of Cambridge
Vincent MoensMember of Technical Staff · Ineffable IntelligenceResearcher↗
Researcher · Engineer
George van den Driessche
Ineffable IntelligenceSoftware Engineer
Career & education
Current roleIneffable IntelligenceAug 2026-presentSoftware Engineer
Ineffable IntelligenceAug 2026-presentPreviously
Google DeepMind2015-Jul 2026Research Engineer
Meta2013-2015Software Engineer
Google2006-2013Software Engineer
Google DeepMind2015-Jul 2026Meta2013-2015Google2006-2013Education
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.
citations79,302As of Oct 27, '26
citations+6,068Since last snapshot, Jul 14, '26
Selected contributions
Mastering the game of Go with deep neural networks and tree search
With David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, Julian Schrittwieser, Ioannis Antonoglou and others ·AlphaGo combined neural networks and search to beat a professional Go player.
Mastering the game of Go without human knowledge
With David Silver, Julian Schrittwieser, Karén Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert and others ·AlphaGo Zero learned Go through self-play without examples of human games.
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.
References
- Training Compute-Optimal Large Language Modelsarxiv.org
Chinchilla coauthorship and controlled-compute comparison.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 15, 2026 · Checked for accuracy and new information.
