Vanderbilt University
University of Cambridge
Matt DurrantLife Science Researcher · AnthropicResearcher↗
Researcher · Academic
John Jumper
AnthropicJoining Anthropic
🇺🇸 AmericanBorn 1985
Jumper led AlphaFold 2, which predicts a protein's three-dimensional shape from its amino-acid sequence with remarkable accuracy.[1] By making structures available for millions of proteins,[2] the system gave biologists a powerful tool for studying disease, designing experiments, and searching for new medicines.
Career & education
Current role
Joining Anthropic
Previously
Google DeepMind2017-2026Research Scientist -> VP, Engineering Fellow
University of Chicago2017-2017Postdoc
D. E. Shaw Research2008-2011Scientific Associate
Google DeepMind2017-2026University of Chicago2017-2017D. E. Shaw Research2008-2011Work 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.
citations116,608As of Nov 1, '26
citations+10,888Since last snapshot, Aug 1, '26
Updates 1
Selected contributions
Highly accurate protein structure prediction with AlphaFold
With Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates and others ·Presented AlphaFold 2, predicting proteins' three-dimensional shapes from their sequences.
Accurate structure prediction of biomolecular interactions with AlphaFold 3
With Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger and others ·AlphaFold 3 predicts how proteins, DNA, RNA and other molecules fit together.
References
- Highly Accurate Protein Structure Prediction with AlphaFoldpubmed.ncbi.nlm.nih.gov
Jumper and colleagues present AlphaFold 2 and its accuracy in a blind protein-structure prediction test.
- AlphaFold at Google DeepMinddeepmind.google
DeepMind describes the public database of predicted structures for over 200 million proteins and how scientists use it.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
