Dr. John Jumper
Google DeepMind
Senior Staff Research Scientist and Director at Google DeepMind, recipient of the 2024 Nobel Prize in Chemistry. First author and technical project lead of AlphaFold 2 and AlphaFold 3, which predicted the 3D structures of over 200 million proteins and complex biomolecular interactions including DNA, RNA, and drug ligands.
Areas of focus
Professional niches
Proof of Work
Accurate Structure Prediction of Biomolecular Interactions with AlphaFold 3
Co-led AlphaFold 3 research in Nature 2024, replacing Evoformer representations with a Diffusion Module to predict joint structures of proteins, nucleic acids (DNA/RNA), post-translational modifications, and small-molecule drugs.
Drug binding pocket predictions require experimental crystallization or binding assays for clinical drug validation.
Context: Pairformer architecture coupled with a 3D coordinate diffusion denoising module.
View missionAlphaFold 2: Computational Structural Biology Prediction Engine Across 200M+ Proteins
First author and technical architect of the open-source AlphaFold 2 computational system, predicting 3D coordinates of all cataloged proteins in the UniProt database with atomic precision.
Computational requirements for long sequence complexes (>2000 residues) require high-memory GPUs (A100/H100).
Context: JAX/Haiku, Multiple Sequence Alignment (MSA) representations, structural recycling iterations.
View mission