KTH Royal Institute of Technology
Pushmeet KohliVP · Google DeepMindResearcher↗
Researcher
Jonas Adler
Google DeepMindPrincipal Research Scientist
Adler's career has followed a common idea across medicine and biology: AI can recover structures that experiments cannot easily reveal. He pioneered neural methods for reconstructing medical scans, then helped build AlphaFold and AlphaFold 3, which predict proteins and how the molecules of life interact.
Career & education
Current roleGoogle DeepMind2025-presentPrincipal Research Scientist
Google DeepMind2025-presentPreviouslyGoogle DeepMind2019-2025Research Engineer -> Principal Research Scientist
Google DeepMind2019-2025Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations98,129As of Aug 1, '26
citations+2,960Since last snapshot, Jul 1, '26
Selected contributions
Highly accurate protein structure prediction with AlphaFold
With John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool and others ·Presented AlphaFold 2, predicting proteins' three-dimensional shapes from their sequences.
Accurate structure prediction of biomolecular interactions with AlphaFold 3
With Josh Abramson, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore and others ·AlphaFold 3 predicts how proteins, DNA, RNA and other molecules fit together.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
