Researcher
Alexander Pritzel
Current role not listed
Pritzel helped build AlphaFold, which predicts a protein's three-dimensional shape from its sequence, and AlphaMissense, which estimates whether genetic changes may be harmful. He also developed a memory-based method that lets an AI reuse successful past experiences when learning new actions.
Career & education
Google DeepMind2014-2026
University of Siegen
Ludwig Maximilian University of MunichWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Highly accurate protein structure prediction with AlphaFold
With John Jumper, Richard Evans, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates 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, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Olaf Ronneberger, Lindsay Willmore and others ·AlphaFold 3 predicts how proteins, DNA, RNA and other molecules fit together.
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Reviewed August 7, 2026 · Checked for accuracy and new information.