John M. Jumper

Source: Wikipedia, the free encyclopedia.
For other people named John Jumper, see John Jumper (disambiguation).
John Jumper
Born
John Michael Jumper
Alma mater
Known for
DeepMind
ThesisNew methods using rigorous machine learning for coarse-grained protein folding and dynamics (2017)
Doctoral advisorTobin R Sosnick[1]
Karl Freed[1]

John Michael Jumper is an American senior research scientist at

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]

Education

Jumper was educated at the

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

Jumper's research investigates algorithms for protein structure prediction.[4]

AlphaFold

This image represents the final product of AlphaFold and it compares its results with other competitors at the CASP competition.

AlphaFold

Alphabet Inc. It is an artificial intelligence program which performs predictions of protein structure.[12]

Awards and honours

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

  1. ^
    ProQuest 1883866286
    .
  2. ^ a b "John Jumper at DeepMind". falling-walls.com.
  3. ^ a b John M. Jumper on LinkedIn Edit this at Wikidata
  4. ^ a b John M. Jumper publications indexed by Google Scholar Edit this at Wikidata
  5. ^ John M. Jumper publications from Europe PubMed Central
  6. S2CID 244528561
    . Retrieved 24 December 2021.
  7. ^
    Wikidata Q107555821
    .
  8. ^
    S2CID 245256541
    . Retrieved 24 December 2021.
  9. ^ Browne, Grace (2021). "DeepMind's AI has finally shown how useful it can be". wired.com. Retrieved 24 December 2021.
  10. ^ "Vanderbilt student wins Marshall Scholarship; John Jumper will study physics at the University of Cambridge". vanderbilt.edu. Retrieved 20 September 2023.
  11. Wikidata Q92669549
    .
  12. ^ "AlphaFold". Deepmind. Retrieved 30 November 2020.
  13. ^ "BBVA Foundation Frontiers of Knowledge Award 2022". frontiersofknowledgeawards-fbbva.es.
  14. ^ "Wiley Prize 2022". wiley.com.
  15. ^ "Breakthrough Prizes 2023". breakthroughprize.org. Retrieved 22 September 2022.
  16. ^ Canada Gairdner International Award 2023
  17. ^ Albert Lasker Award for Basic Medical Research 2023


Stub icon

This artificial intelligence-related article is a stub. You can help Wikipedia by expanding it.

Retrieved from "https://en.wikipedia.org/w/index.php?title=John_M._Jumper&oldid=1216088911"