Demis Hassabis

Affiliations: 
2010- Google DeepMind 
Area:
Neuroscience, machine learning, episodic memory
Google:
"Demis Hassabis"
Bio:

(born 1976)
The Nobel Prize in Chemistry 2024 was divided, one half awarded to David Baker "for computational protein design", the other half jointly to Demis Hassabis and John M. Jumper "for protein structure prediction".
https://www.nobelprize.org/prizes/chemistry/2024/hassabis/facts/
https://en.wikipedia.org/wiki/Demis_Hassabis
Dissertation: https://discovery.ucl.ac.uk/id/eprint/16126

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Cross-listing: Computer Science Tree - Computational Biology Tree - Chemistry Tree

Parents

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Eleanor Maguire grad student 2009 UCL
 (Neural processes underpinning episodic memory.)
Peter Dayan post-doc 2009-2010 UCL
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Publications

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Abramson J, Adler J, Dunger J, et al. (2024) Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature
Wang Z, Veličković P, Hennes D, et al. (2024) TacticAI: an AI assistant for football tactics. Nature Communications. 15: 1906
Varadi M, Bertoni D, Magana P, et al. (2023) AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences. Nucleic Acids Research
Cheng J, Novati G, Pan J, et al. (2023) Accurate proteome-wide missense variant effect prediction with AlphaMissense. Science (New York, N.Y.). 381: eadg7492
Jumper J, Hassabis D. (2023) The Protein Structure Prediction Revolution and Its Implications for Medicine: 2023 Albert Lasker Basic Medical Research Award. Jama. 330: 1425-1426
Mankowitz DJ, Michi A, Zhernov A, et al. (2023) Faster sorting algorithms discovered using deep reinforcement learning. Nature. 618: 257-263
Perolat J, De Vylder B, Hennes D, et al. (2022) Mastering the game of Stratego with model-free multiagent reinforcement learning. Science (New York, N.Y.). 378: 990-996
Varadi M, Nair S, Sillitoe I, et al. (2022) 3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources. Gigascience. 11
McGrath T, Kapishnikov A, Tomašev N, et al. (2022) Acquisition of chess knowledge in AlphaZero. Proceedings of the National Academy of Sciences of the United States of America. 119: e2206625119
Fawzi A, Balog M, Huang A, et al. (2022) Discovering faster matrix multiplication algorithms with reinforcement learning. Nature. 610: 47-53
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