John Michael Jumper is an American senior research scientist at DeepMind Technologies.[4][5][6] Jumper and his colleagues created AlphaFold,[7] an artificial intelligence (AI) model to predict protein structures from their amino acid sequence with high accuracy.[8] Jumper has stated that the AlphaFold team plans to release 100 million protein structures.[9] The scientific journal Nature included Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 in 2021.[8][3]
John Jumper | |
|---|---|
| Born | John Michael Jumper |
| Alma mater |
|
| Known for | AlphaFold |
| Awards | Breakthrough Prize in Life Sciences (2023) Nature's 10 (2021) BBVA Foundation Frontiers of Knowledge Award (2022) |
| 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[1] Karl Freed[1] |
Education edit
Jumper was educated at the University of Chicago where he was awarded a PhD in 2017 for research on using machine learning to simulate protein folding and dynamics, being co-supervised by Tobin R Sosnick and Karl Freed.[1] Jumper also studied physics at the University of Cambridge, where he was on the Marshall Scholarship,[10] and holds a Bachelor of Science degree in Physics and Mathematics from Vanderbilt University.[2]
Career and research edit
Jumper's research investigates algorithms for protein structure prediction.[4]
AlphaFold edit
AlphaFold[7][11] is a deep learning algorithm developed by Jumper and his team at DeepMind, a research lab acquired by Google's parent company Alphabet Inc. It is an artificial intelligence program which performs predictions of protein structure.[12]
Awards and honours edit
In November 2020, AlphaFold was named the winner of the Critical Assessment of Structure Prediction (CASP) competition. This international competition benchmarks algorithms to determine which one can best predict the 3D structure of proteins. AlphaFold won the competition, out performing other algorithms and making it the first machine learning algorithm to be able to accurately predict the 3D structure of proteins.
In 2021 Jumper was awarded the BBVA Foundation Frontiers of Knowledge Award in the category "Biology and Biomedicine".[13] In 2022 Jumper received the Wiley Prize in Biomedical Sciences[14] and for 2023 the Breakthrough Prize in Life Sciences for developing AlphaFold, which accurately predicts the structure of a protein.[15] In 2023 he was awarded the Canada Gairdner International Award[16] and the Albert Lasker Award for Basic Medical Research.[17]
References edit
- ^ a b c Jumper, John Michael (2017). New methods using rigorous machine learning for coarse-grained protein folding and dynamics. chicago.edu (PhD thesis). University of Chicago. doi:10.6082/M1BZ647N. OCLC 1237239279. ProQuest 1883866286.
- ^ a b "John Jumper at DeepMind". falling-walls.com.
- ^ a b John M. Jumper on LinkedIn
- ^ a b John M. Jumper publications indexed by Google Scholar
- ^ John M. Jumper publications from Europe PubMed Central
- ^ 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 24 December 2021.
- ^ a b John Jumper; Richard Evans; Alexander Pritzel; et al. (15 July 2021). "Highly accurate protein structure prediction with AlphaFold". Nature. Bibcode:2021Natur.596..583J. doi:10.1038/S41586-021-03819-2. ISSN 1476-4687. PMC 8371605. Wikidata Q107555821.
- ^ a b 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. Retrieved 24 December 2021.
- ^ Browne, Grace (2021). "DeepMind's AI has finally shown how useful it can be". wired.com. Retrieved 24 December 2021.
- ^ "Vanderbilt student wins Marshall Scholarship; John Jumper will study physics at the University of Cambridge". vanderbilt.edu. Retrieved 20 September 2023.
- ^ Andrew W Senior; Richard Evans; John Jumper; et al. (15 January 2020). "Improved protein structure prediction using potentials from deep learning". Nature. 577 (7792): 706–710. doi:10.1038/S41586-019-1923-7. ISSN 1476-4687. PMID 31942072. Wikidata Q92669549.
- ^ "AlphaFold". Deepmind. Retrieved 30 November 2020.
- ^ "BBVA Foundation Frontiers of Knowledge Award 2022". frontiersofknowledgeawards-fbbva.es.
- ^ "Wiley Prize 2022". wiley.com.
- ^ "Breakthrough Prizes 2023". breakthroughprize.org. Retrieved 22 September 2022.
- ^ Canada Gairdner International Award 2023
- ^ Albert Lasker Award for Basic Medical Research 2023
 | This artificial intelligence-related article is a stub. You can help Wikipedia by expanding it. |