John Jumper
Director at Google DeepMind and Isomorphic Labs
Organization
Google DeepMind / Isomorphic Labs
Position
Director, Google DeepMind; Director, Isomorphic Labs
Intelligence Briefing
Led the development of AlphaFold at Google DeepMind, which solved the 50-year-old protein folding problem. Won the Nobel Prize in Chemistry (2024) alongside Demis Hassabis. AlphaFold has been used by over 2 million researchers in 190 countries, with 214 million protein structures released.
PhD, Theoretical Chemistry — University of Chicago
MPhil, Theoretical Condensed Matter Physics — University of Cambridge
BS, Physics and Mathematics — Vanderbilt University
Operational History
Nobel Prize in Chemistry
Awarded for the development of AlphaFold.
awardAlphaFold 2 Release
Released AlphaFold 2, achieving unprecedented accuracy in protein structure prediction.
researchAlphaFold Protein Structure Database Launch
Launched a database containing predicted protein structures for the scientific community.
researchAlphaFold Wins CASP13
AlphaFold won the Critical Assessment of protein Structure Prediction (CASP) competition.
researchResearch Scientist at Google DeepMind
Became a Research Scientist at Google DeepMind focusing on AI for scientific applications.
careerMarshall Scholar
Studied at the University of Cambridge as a Marshall Scholar.
careerPhD in Theoretical Chemistry
Completed PhD at the University of Chicago.
careerMPhil in Theoretical Condensed Matter Physics
Completed MPhil at the University of Cambridge.
careerAGI Position Assessment
Unknown
Focused on beneficial applications of AI to science. Believes AI has transformative potential for drug discovery and biological understanding. Supports responsible deployment of AI in scientific domains.
Focused on beneficial applications of AI to science. Believes AI has transformative potential for drug discovery and biological understanding. Supports responsible deployment of AI in scientific domains.
Intercepted Communications
“AI has the potential to revolutionize our understanding of biology.”
“The development of AlphaFold is a testament to the power of AI in solving complex scientific problems.”
“We must ensure that AI is used responsibly in scientific research.”
“Collaboration between AI and biology can lead to breakthroughs in drug discovery.”
“AlphaFold's impact on the scientific community is profound and far-reaching.”
Research Output
Protein folding and AI: A new era
2023Nature Reviews Molecular Cell Biology
Explores the intersection of AI and protein folding.
Advancements in protein structure prediction
2023Annual Review of Biophysics
Reviews recent advancements in the field.
AI for structural biology: A transformative approach
2023Trends in Biotechnology
Discusses the transformative potential of AI in structural biology.
The future of AI in drug discovery
2023Nature Biotechnology
Analyzes the future implications of AI in drug discovery.
Ethics of AI in scientific research
2023AI & Society
Examines the ethical considerations of AI in research.
Collaborative AI: Bridging biology and technology
2023Frontiers in Bioengineering and Biotechnology
Discusses collaborative approaches between AI and biology.
AlphaFold: Using AI for scientific discovery
2022Science
Discusses the implications of AlphaFold in various scientific fields.
Highly accurate protein structure prediction with AlphaFold
2021Nature
This paper describes the methodology and results of AlphaFold.
Field Intelligence
The Role of AI in Modern Science
AlphaFold: A Game Changer in Biology
AI and the Future of Drug Discovery
Ethics in AI Research
Known Associates
Organizational Affiliations
Current
Google DeepMind
Director
2017-Present
Isomorphic Labs
Director
2021-Present
Former
Research Scientist
2017-2021
Commendations
2024
Nobel Prize in Chemistry
Royal Swedish Academy of Sciences
Awarded for the development of AlphaFold.
Source Material
Dossier last updated: 2026-03-04