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D

Demis Hassabis

google deepmind

89H-index
171Paper Count
18.1WCitation Count
Published Papers 45
Publication Date
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Accelerating scientific discovery with Co-Scientist
errNature
IF48.5
err2026-05-19
err0
PREAI
errJuraj Gottweis; Wei-Hung Weng; Alexander Daryin; Tao Tu; Petar Sirkovic; Artiom Myaskovsky; Grzegorz Glowaty; Felix Weissenberger; Alessio Orlandi; Dan Popovici; Anil Palepu; Keran Rong; Ryutaro Tanno; Khaled Saab; Fan Zhang; Jacob Blum; Andrew Carroll; Kavita Kulkarni; Nenad Tomašev; Dina Zverinski; Ivor Rendulic; Elahe Vedadi; Florian Hasler; Luka Rimanic; Marina Boia; Ivan Budiselic; Ben Feinstein; Mathias Bellaiche; Tom Sheffer; Jan Freyberg; Jeremy Ratcliff; Ottavia Bertolli; Katherine Chou; Avinatan Hassidim; Burak Gokturk; Amin Vahdat; Yuan Guan; Vikram Dhillon; Eeshit Dhaval Vaishnav; Byron Lee; Tiago R. D. Costa; José R. Penadés; Gary Peltz; Yossi Matias; James Manyika; Demis Hassabis; Yunhan Xu; Pushmeet Kohli; Annalisa Pawlosky; Alan Karthikesalingam; Vivek Natarajan
errShare
errSave
Advancing regulatory variant effect prediction with AlphaGenome
errNature
IF48.5
err2026-01-28
err0
errOAAI
errŽiga Avsec; Natasha Latysheva; Jun Cheng; Guido Novati; Kyle R. Taylor; Tom Ward; Clare Bycroft; Lauren Nicolaisen; Eirini Arvaniti; Joshua Pan; Raina Thomas; Vincent Dutordoir; Matteo Perino; Soham De; Alexander Karollus; Adam Gayoso; Toby Sargeant; Anne Mottram; Lai Hong Wong; Pavol Drotár; Adam Kosiorek; Andrew Senior; Richard Tanburn; Taylor Applebaum; Souradeep Basu; Demis Hassabis; Pushmeet Kohli
errShare
errSave
Olympiad-level formal mathematical reasoning with reinforcement learning
errNature
IF48.5
err2025-11-12
err0
errOAAI
errThomas Hubert; Rishi Mehta; Laurent Sartran; Miklós Z. Horváth; Goran Žužić; Eric Wieser; Aja Huang; Julian Schrittwieser; Yannick Schroecker; Hussain Masoom; Ottavia Bertolli; Tom Zahavy; Amol Mandhane; Jessica Yung; Iuliya Beloshapka; Borja Ibarz; Vivek Veeriah; Lei Yu; Oliver Nash; Paul Lezeau; Salvatore Mercuri; Calle Sönne; Bhavik Mehta; Alex Davies; Daniel Zheng; Fabian Pedregosa; Yin Li; Ingrid von Glehn; Mark Rowland; Samuel Albanie; Ameya Velingker; Simon Schmitt; Edward Lockhart; Edward Hughes; Henryk Michalewski; Nicolas Sonnerat; Demis Hassabis; Pushmeet Kohli; David Silver
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errSave
Bridging the human-AI knowledge gap through concept discovery and transfer in AlphaZero
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2025-03-26
err0
errOAAI
errSchut, Lisa; Tomasev, Nenad; McGrath, Thomas; Hassabis, Demis; Paquet, Ulrich; Kim, Been
errShare
errSave
TacticAI: an AI assistant for football tactics
errNATURE COMMUNICATIONS
IF15.7
err2024-03-19
err4
errOAAI
errWang, Zhe; Velickovic, Petar; Hennes, Daniel; Tomasev, Nenad; Prince, Laurel; Kaisers, Michael; Bachrach, Yoram; Elie, Romuald; Wenliang, Li Kevin; Piccinini, Federico; Spearman, William; Graham, Ian; Connor, Jerome; Yang, Yi; Recasens, Adria; Khan, Mina; Beauguerlange, Nathalie; Sprechmann, Pablo; Moreno, Pol; Heess, Nicolas; Bowling, Michael; Hassabis, Demis; Tuyls, Karl
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errSave
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences
errNUCLEIC ACIDS RESEARCH
IF13.1
err2023-11-02
err193
errOAAI
errVaradi, Mihaly; Bertoni, Damian; Magana, Paulyna; Paramval, Urmila; Pidruchna, Ivanna; Radhakrishnan, Malarvizhi; Tsenkov, Maxim; Nair, Sreenath; Mirdita, Milot; Yeo, Jingi; Kovalevskiy, Oleg; Tunyasuvunakool, Kathryn; Laydon, Agata; Zidek, Augustin; Tomlinson, Hamish; Hariharan, Dhavanthi; Abrahamson, Josh; Green, Tim; Jumper, John; Birney, Ewan; Steinegger, Martin; Hassabis, Demis; Velankar, Sameer
errShare
errSave
The Protein Structure Prediction Revolution and Its Implications for Medicine 2023 Albert Lasker Basic Medical Research Award
errJAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
IF55
err2023-10-17
err4
PREAI
errJumper, John; Hassabis, Demis
errShare
errSave
3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources
errGIGASCIENCE
IF3.9
err2022-11-30
err6
errOAAI
errVaradi, Mihaly; Nair, Sreenath; Sillitoe, Ian; Tauriello, Gerardo; Anyango, Stephen; Bienert, Stefan; Borges, Clemente; Deshpande, Mandar; Green, Tim; Hassabis, Demis; Hatos, Andras; Hegedus, Tamas; Hekkelman, Maarten L.; Joosten, Robbie; Jumper, John; Laydon, Agata; Molodenskiy, Dmitry; Piovesan, Damiano; Salladini, Edoardo; Salzberg, Steven L.; Sommer, Markus J.; Steinegger, Martin; Suhajda, Erzsebet; Svergun, Dmitri; Tenorio-Ku, Luiggi; Tosatto, Silvio; Tunyasuvunakool, Kathryn; Waterhouse, Andrew Mark; Zidek, Augustin; Schwede, Torsten; Orengo, Christine; Velankar, Sameer
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errSave
Acquisition of chess knowledge in AlphaZero
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2022-11-14
err41
errOAAI
errMcGrath, Thomas; Kapishnikov, Andrei; Tomasev, Nenad; Pearce, Adam; Wattenberg, Martin; Hassabis, Demis; Kim, Been; Paquet, Ulrich; Kramnik, Vladimir
errShare
errSave
Multiagent off-screen behavior prediction in football
errSCIENTIFIC REPORTS
IF3.9
err2022-05-23
err9
errOAAI
errOmidshafiei, Shayegan; Hennes, Daniel; Garnelo, Marta; Wang, Zhe; Recasens, Adria; Tarassov, Eugene; Yang, Yi; Elie, Romuald; Connor, Jerome T.; Muller, Paul; Mackraz, Natalie; Cao, Kris; Moreno, Pol; Sprechmann, Pablo; Hassabis, Demis; Graham, Ian; Spearman, William; Heess, Nicolas; Tuyls, Karl
errShare
errSave
Tackling Climate Change with Machine Learning
errACM COMPUTING SURVEYS
IF28
err2022-02-07
err263
errOAAI
errRolnick, David; Donti, Priya L.; Kaack, Lynn H.; Kochanski, Kelly; Lacoste, Alexandre; Sankaran, Kris; Ross, Andrew Slavin; Milojevic-Dupont, Nikola; Jaques, Natasha; Waldman-Brown, Anna; Luccioni, Alexandra Sasha; Maharaj, Tegan; Sherwin, Evan D.; Mukkavilli, S. Karthik; Kording, Konrad P.; Gomes, Carla P.; Ng, Andrew Y.; Hassabis, Demis; Platt, John C.; Creutzig, Felix; Chayes, Jennifer; Bengio, Yoshua
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errSave
Reimagining Chess with AlphaZero
errCOMMUNICATIONS OF THE ACM
IF12.2
err2022-01-24
err5
errOAAI
errTomasev, Nenad; Paquet, Ulrich; Hassabis, Demis; Kramnik, Vladimir
errShare
errSave
Protein structure predictions to atomic accuracy with AlphaFold
errNATURE METHODS
IF32.1
err2022-01-11
err130
PREAI
errJumper, John; Hassabis, Demis
errShare
errSave
Applying and improving AlphaFold at CASP14
errPROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
IF2.8
err2021-11-24
err250
errOAAI
errJumper, John; Evans, Richard; Pritzel, Alexander; Green, Tim; Figurnov, Michael; Ronneberger, Olaf; Tunyasuvunakool, Kathryn; Bates, Russ; Zidek, Augustin; Potapenko, Anna; Bridgland, Alex; Meyer, Clemens; Kohl, Simon A. A.; Ballard, Andrew J.; Cowie, Andrew; Romera-Paredes, Bernardino; Nikolov, Stanislav; Jain, Rishub; Adler, Jonas; Back, Trevor; Petersen, Stig; Reiman, David; Clancy, Ellen; Zielinski, Michal; Steinegger, Martin; Pacholska, Michalina; Berghammer, Tamas; Silver, David; Vinyals, Oriol; Senior, Andrew W.; Kavukcuoglu, Koray; Kohli, Pushmeet; Hassabis, Demis
errShare
errSave
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
errNUCLEIC ACIDS RESEARCH
IF13.1
err2021-11-17
err4.2K
errOAAI
errVaradi, Mihaly; Anyango, Stephen; Deshpande, Mandar; Nair, Sreenath; Natassia, Cindy; Yordanova, Galabina; Yuan, David; Stroe, Oana; Wood, Gemma; Laydon, Agata; Zidek, Augustin; Green, Tim; Tunyasuvunakool, Kathryn; Petersen, Stig; Jumper, John; Clancy, Ellen; Green, Richard; Vora, Ankur; Lutfi, Mira; Figurnov, Michael; Cowie, Andrew; Hobbs, Nicole; Kohli, Pushmeet; Kleywegt, Gerard; Birney, Ewan; Hassabis, Demis; Velankar, Sameer
errShare
errSave
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
errNATURE COMMUNICATIONS
IF15.7
err2021-11-09
err68
errOAAI
errHiggins, Irina; Chang, Le; Langston, Victoria; Hassabis, Demis; Summerfield, Christopher; Tsao, Doris; Botvinick, Matthew
errShare
errSave
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
errNATURE PROTOCOLS
IF16
err2021-05-05
err46
errOAAI
errTomasev, Nenad; Harris, Natalie; Baur, Sebastien; Mottram, Anne; Glorot, Xavier; Rae, Jack W.; Zielinski, Michal; Askham, Harry; Saraiva, Andre; Magliulo, Valerio; Meyer, Clemens; Ravuri, Suman; Protsyuk, Ivan; Connell, Alistair; Hughes, Cian O.; Karthikesalingam, Alan; Cornebise, Julien; Montgomery, Hugh; Rees, Geraint; Laing, Chris; Baker, Clifton R.; Osborne, Thomas F.; Reeves, Ruth; Hassabis, Demis; King, Dominic; Suleyman, Mustafa; Back, Trevor; Nielson, Christopher; Seneviratne, Martin G.; Ledsam, Joseph R.; Mohamed, Shakir
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errSave
Predicting conversion to wet age-related macular degeneration using deep learning
errNATURE MEDICINE
IF50
err2020-05-18
err177
PREAI
errYim, Jason; Chopra, Reena; Spitz, Terry; Winkens, Jim; Obika, Annette; Kelly, Christopher; Askham, Harry; Lukic, Marko; Huemer, Josef; Fasler, Katrin; Moraes, Gabriella; Meyer, Clemens; Wilson, Marc; Dixon, Jonathan; Hughes, Cian; Rees, Geraint; Khaw, Peng T.; Karthikesalingam, Alan; King, Dominic; Hassabis, Demis; Suleyman, Mustafa; Back, Trevor; Ledsam, Joseph R.; Keane, Pearse A.; De Fauw, Jeffrey
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errSave
Unveiling the predictive power of static structure in glassy systems (vol 16, pg 448, 2020)
errNATURE PHYSICS
IF18.4
err2020-04-16
err2
errOAAI
errBapst, V.; Keck, T.; Grabska-Barwinska, A.; Donner, C.; Cubuk, E. D.; Schoenholz, S. S.; Obika, A.; Nelson, A. W. R.; Back, T.; Hassabis, D.; Kohli, P.
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errSave
Unveiling the predictive power of static structure in glassy systems
errNATURE PHYSICS
IF18.4
err2020-04-06
err243
PREAI
errBapst, V; Keck, T.; Grabska-Barwinska, A.; Donner, C.; Cubuk, E. D.; Schoenholz, S. S.; Obika, A.; Nelson, A. W. R.; Back, T.; Hassabis, D.; Kohli, P.
errShare
errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
Y
Yoshua Bengio
H-index: 183 · Papers: 1.3K
D
Daniel L. Schacter
H-index: 163 · Papers: 826
S
Steven L. Salzberg
H-index: 160 · Papers: 600
E
Ewan Birney
H-index: 142 · Papers: 500
Y
Yi Yang
H-index: 138 · Papers: 1.3K
View more