John Jumper
John Jumper is a research leader at Google DeepMind and a co-recipient of the 2024 Nobel Prize in Chemistry. He trained in physics before working on protein simulation and earning a chemistry doctorate at the University of Chicago in 2017. He joined DeepMind that year. His team’s AlphaFold work predicted protein structures in the CASP14 blind test in 2020. The team later released code and worked with EMBL-EBI on a large public database of predicted structures. Jumper also co-authored AlphaFold 3, which models molecular interactions. The Nobel committee shared the protein prediction half of the prize between Jumper and Demis Hassabis; David Baker received the other half for computational protein design.
- Now at
- Google DeepMind
- Works
- 52
- Citations
- 86,266
- h-index
- 26
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2017
A chemistry doctorate
Jumper earned his Chicago chemistry doctorate in 2017.
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2017
Joining DeepMind
Jumper joined DeepMind in 2017.
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2020
AlphaFold’s test
Jumper’s AlphaFold team reported its CASP14 results in 2020.
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2021–2022
A shared scientific resource
The AlphaFold database expanded beyond 200 million predicted structures in 2022.
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2024
Protein interactions
Jumper co-authored AlphaFold 3 in 2024.
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2024
Shared Nobel recognition
Jumper shared the 2024 Nobel protein prediction award with Hassabis.
Sources and credits
Photo: John Sears, via Wikimedia Commons. License: CC BY-SA 4.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
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