John M. Jumper
John M. Jumper on NobelPrize.orgJohn 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]
John M. Jumper | |
|---|---|
_-_img_02.jpg) Jumper in 2024 | |
| Born | John Michael Jumper 1985 (age 40–41)[1] Little Rock, Arkansas, U.S.[1] |
| Education | |
| Known for | AlphaFold |
| Awards | Nature's 10 (2021) BBVA Foundation Frontiers of Knowledge Award (2022) Breakthrough Prize in Life Sciences (2023) Nobel Prize in Chemistry (2024) |
| Scientific career | |
| Fields | Artificial intelligence Machine learning |
| Institutions | Google DeepMind |
| Thesis | New methods using rigorous machine learning for coarse-grained protein folding and dynamics (2017) |
Jumper and Demis Hassabis were awarded half of the 2024 Nobel Prize in Chemistry for their predictions of protein structures.[4][5]
John M. Jumper Media
This image represents the final product of AlphaFold and it compares its results with other competitors at the CASP competition.
References
- ↑ 1.0 1.1 John M. Jumper: Facts. The Nobel Prize (2024)Nobel Prize Outreach AB. Retrieved October 9, 2024.
- ↑ Eisenstein, Michael. Artificial intelligence powers protein-folding predictions. Nature 599 (7886) (2021)Springer Nature. p. 706–708. doi:10.1038/d41586-021-03499-y. Retrieved December 24, 2021.
- ↑ Maxmen, Amy. Nature's 10: John Jumper: Protein predictor. Nature 600 (7890) (2021)Springer Nature. p. 591–604. doi:10.1038/d41586-021-03621-0.
- ↑ The Nobel Prize in Chemistry 2024Nobel Media AB. Retrieved October 9, 2024.
- ↑ Press release: The Nobel Prize in Chemistry 2024 (in en-US). NobelPrize.org. Retrieved October 9, 2024.
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