Microsoft
Oxford Brookes University
Alexander NovikovStaff Research Scientist · Google DeepMindResearcher↗
Researcher · Executive
Pushmeet Kohli
Kohli leads Google DeepMind's AI-for-science work across biology, materials, mathematics, fusion, and computing.[1] He helped guide AlphaFold and now oversees systems such as AlphaEvolve[2] and AI Co-Scientist, which use AI not only to analyze scientific data but to propose algorithms and research ideas.
Career & education
Current role
Previously
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.
citations210,194As of Nov 1, '26
citations+6,953Since last snapshot, Oct 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, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger and others ·AlphaFold 3 predicts how proteins, DNA, RNA and other molecules fit together.
References
- Google — Pushmeet Kohliblog.google
Google describes Kohli’s science remit across biology, materials, mathematics, fusion and computing.
- AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmsdeepmind.google
Google DeepMind describes how AlphaEvolve proposes and tests algorithm changes, with examples from mathematics and computing.
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.
