Inflection AI
Google DeepMind
Harvard University
Dirk GroeneveldMember of Technical Staff · Microsoft AIResearcher↗JH
Researcher
Jordan Hoffmann
Hoffmann led the Chinchilla study, which showed that language models could outperform much larger systems by training on substantially more data. The result reshaped how frontier models allocate computing power between model size and training data. He now leads Microsoft AI's London lab.
Career & education
Current role
Previously
Research Scientist
Education
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.
citations16,117As of Oct 19, '26
citations+1,628Since last snapshot, Jul 26, '26
Selected contributions
Training Compute-Optimal Large Language Models
With Sebastian Borgeaud, 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 8, 2026 · Checked for accuracy and new information.
