John Jumper

E736795

John Jumper is a computational biologist best known as the lead researcher behind DeepMind’s AlphaFold, the breakthrough AI system for predicting protein structures.

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Predicate Object
instanceOf computational biologist
researcher
scientist
affiliation Google DeepMind NERFINISHED
areaOfInfluence AI for scientific discovery
computational structural biology community
awardReceived Albert Lasker Basic Medical Research Award NERFINISHED
BBVA Foundation Frontiers of Knowledge Award NERFINISHED
Breakthrough Prize in Life Sciences NERFINISHED
Canada Gairdner International Award NERFINISHED
Gothenburg Lise Meitner Prize NERFINISHED
Gruber Genetics Prize NERFINISHED
Pearl Meister Greengard Prize NERFINISHED
Royal Society Mullard Award NERFINISHED
Warren Alpert Foundation Prize NERFINISHED
countryOfCitizenship United States of America
surface form: United States
educatedAt University of Chicago
University of Texas at Austin
Vanderbilt University NERFINISHED
employer DeepMind NERFINISHED
fieldOfWork artificial intelligence
computational biology
machine learning
structural biology
hasAcademicDegree PhD in theoretical chemistry
degree in physics
hasCollaboratedWith AlphaFold research team
Demis Hassabis NERFINISHED
Pushmeet Kohli NERFINISHED
knownFor applications of artificial intelligence in biology
leading the development of AlphaFold
protein structure prediction research
languageSpoken English
notableAchievement demonstrating near-experimental accuracy in protein structure prediction at CASP14
notablePublication Applying and improving AlphaFold at scale NERFINISHED
Highly accurate protein structure prediction with AlphaFold NERFINISHED
notableWork AlphaFold NERFINISHED
occupation research scientist
team lead at DeepMind
participatedIn CASP14 protein structure prediction competition NERFINISHED
researchInterest biomolecular structure prediction
deep learning
differentiable programming
protein folding
role lead researcher on AlphaFold
worksAt DeepMind NERFINISHED

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