John M. Jumper
American chemist and AI expert
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]
John M. Jumper | |
|---|---|
_-_img_02.jpg) Jumper in 2024 | |
| Born | John Michael Jumper 1985 (age 38–39)[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) |
| Doctoral advisor | Tobin R Sosnick Karl Freed |
Jumper and Demis Hassabis were awarded half of the 2024 Nobel Prize in Chemistry for their predictions of protein structures.[4][5]
References
change- ↑ 1.0 1.1 "John M. Jumper: Facts". The Nobel Prize. Nobel Prize Outreach AB. 2024. Retrieved October 9, 2024.
- ↑ 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.
- ↑ 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.
- ↑ "The Nobel Prize in Chemistry 2024". Nobel Media AB. Retrieved October 9, 2024.
- ↑ "Press release: The Nobel Prize in Chemistry 2024". NobelPrize.org. Retrieved October 9, 2024.
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