Google
IBM
University of Cambridge
Carolina ParadaVP and Head of Robotics · Google DeepMindResearcher↗AS
Researcher
Andrew Senior
Google DeepMindResearch Scientist
Senior helped bring deep learning into speech recognition and was a key contributor to AlphaFold's protein-structure predictions. His career spans handwriting, audiovisual speech, biometrics and tracking, connecting decades of perception research with one of AI's major scientific breakthroughs.
Career & education
Current roleGoogle DeepMind2015-presentResearch Scientist
Google DeepMind2015-presentEducation
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.
citations143,354As of Nov 1, '26
citations+2,683Since 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.
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
With Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Vincent Vanhoucke and others ·Reviewed how deep neural networks improved the recognition of speech from recorded audio.
WaveNet: A Generative Model for Raw Audio
With Aäron van den Oord, Sander Dieleman, Heiga Zen, Karén Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner and others ·WaveNet generates natural-sounding speech directly as a sequence of audio samples.
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Reviewed August 10, 2026 · Checked for accuracy and new information.
