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John M. Jumper

From Simple English Wikipedia, the free encyclopedia
John M. Jumper
Jumper in 2024
Born
John Michael Jumper

1985 (age 38–39)[1]
Education
Known forAlphaFold
AwardsNature's 10 (2021)
BBVA Foundation Frontiers of Knowledge Award (2022)
Breakthrough Prize in Life Sciences (2023)
Nobel Prize in Chemistry (2024)
Scientific career
FieldsArtificial intelligence
Machine learning
InstitutionsGoogle
DeepMind
ThesisNew methods using rigorous machine learning for coarse-grained protein folding and dynamics (2017)
Doctoral advisorTobin R Sosnick
Karl Freed

John Michael Jumper (born 1985) is an American chemist and computer scientist. He is a director at DeepMind Technologies.[2] Jumper is known for creating an artificial intelligence (AI) model to predict protein structures from their amino acid sequence.[3]

Jumper and Demis Hassabis were awarded half of the 2024 Nobel Prize in Chemistry for their predictions of protein structures.[4][5]

References

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  1. 1.0 1.1 "John M. Jumper: Facts". The Nobel Prize. Nobel Prize Outreach AB. 2024. Retrieved October 9, 2024.
  2. Eisenstein, Michael (2021). "Artificial intelligence powers protein-folding predictions". Nature. 599 (7886). Springer Nature: 706–708. doi:10.1038/d41586-021-03499-y. S2CID 244528561. Retrieved December 24, 2021.
  3. Maxmen, Amy (2021). "Nature's 10: John Jumper: Protein predictor". Nature. 600 (7890). Springer Nature: 591–604. doi:10.1038/d41586-021-03621-0. PMID 34912110. S2CID 245256541.
  4. "The Nobel Prize in Chemistry 2024". Nobel Media AB. Retrieved October 9, 2024.
  5. "Press release: The Nobel Prize in Chemistry 2024". NobelPrize.org. Retrieved October 9, 2024.