University of Cambridge
Barret ZophVice President of Research · Google DeepMindResearcher↗
Researcher · Engineer
Sebastian Borgeaud
Google DeepMindResearch Engineer
Borgeaud helped create RETRO, which lets a language model search a vast collection of documents while writing instead of relying only on memorized knowledge. He also helped show that training smaller models on more data can outperform simply making models larger.
Career & education
Current roleGoogle DeepMind2018-presentResearch Engineer
Google DeepMind2018-presentEducation
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.
citations66,892As of Oct 19, '26
citations+7,271Since last snapshot, Aug 8, '26
Selected contributions
Emergent Abilities of Large Language Models
With Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Dani Yogatama, Maarten Bosma and others ·Examined abilities that appeared in larger language models but were absent in smaller ones.
Training Compute-Optimal Large Language Models
With Jordan Hoffmann, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de las Casas, Lisa Anne Hendricks and others ·Chinchilla showed how smaller models trained on more data can better use a fixed computing budget.
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Reviewed August 24, 2026 · Checked for accuracy and new information.
