🧑‍🔬 Alexander Pritzel

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2015–2024 · 18 papers🏢GoogleMountain View · United States2015–2020 · 6 papers🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2011–2016 · 5 papersEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Highly accurate protein structure prediction with AlphaFold (2021 · 43,527 citations)
   Determining a protein's 3D shape experimentally can take months or years. As a result, only around 100,000 unique structures are known, against billions of known sequences. Predicting structure from the amino acid sequence alone has been open for more than 50 years, and earlier methods fell well short of atomic…
2. PathNet: Evolution Channels Gradient Descent in Super Neural Networks (2017 · 667 citations)
   The paper asks how one very large neural network could learn many tasks one after another. The goal is to reuse earlier knowledge without overwriting it, which is known as catastrophic forgetting. The authors propose PathNet, a modular network of several layers, each with many small modules. A population of…
3. Deep Exploration via Bootstrapped DQN (2016 · 490 citations)
   Reinforcement learning agents typically explore with dithering schemes like ε-greedy. These schemes randomly perturb individual actions and cannot pursue information over several steps, which can make learning exponentially slower. Provably efficient alternatives exist, but they mostly apply only to small tabular…

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Highly accurate protein structure prediction with AlphaFoldNatureJohn Jumper, Richard Evans, Alexander Pritzel, et al.2021 · 43,527 citations
2. Highly accurate protein structure prediction for the human proteome ↗Nature · no summary yetKathryn Tunyasuvunakool et al.2021 · 3,004 citations
3. Learning skillful medium-range global weather forecasting ↗Science · no summary yetRémi Lam et al.2023 · 1,493 citations
4. PathNet: Evolution Channels Gradient Descent in Super Neural NetworksarXiv:1701.08734Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.2017 · 667 citations
5. Deep Exploration via Bootstrapped DQNarXiv:1602.04621Ian Osband, Charles Blundell, Alexander Pritzel, et al.2016 · 490 citations
6. Applying and improving AlphaFold at CASP14 ↗Proteins Structure Function and Bioinformatics · no summary yetJohn Jumper et al.2021 · 395 citations
7. GraphCast: Learning skillful medium-range global weather forecasting ↗arXiv (Cornell University) · no summary yetRémi Lam et al.2022 · 182 citations
8. Neural Episodic Control ↗arXiv:1703.01988 · no summary yetAlexander Pritzel et al.2017 · 91 citations
9. Memory-based Parameter Adaptation ↗arXiv (Cornell University) · no summary yetPablo Sprechmann et al.2018 · 42 citations

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Charles Blundell ×2
• Anna Potapenko
• Chrisantha Fernando
• Daan Wierstra
• David Ha
• Dylan Banarse
• Olaf Ronneberger
• Richard Evans

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Nature ×2: Nature 2021
• Proteins Structure Function and Bioinformatics
• Science

🔗 Cited by

Papers of our library cite their works 4,046 times (of the 149,439 papers whose bibliographies we read); 846 citing papers with a page here →.

Updated 2 November 2026

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