World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
104718
World Ranking
1107
National Ranking
589

Overview

Andrew W. Senior is affiliated with Google in the United States and conducts research primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Computer Science. Their work encompasses multiple subfields such as Molecular Biology, Artificial Intelligence, Materials Chemistry, Computational Theory and Mathematics, and Genetics.

The scientist's research focuses on topics including Protein Structure and Dynamics, Enzyme Structure and Function, Quantum Computing Algorithms and Architecture, Quantum-Dot Cellular Automata, Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, and Quantum Information and Cryptography.

Some of their recent published papers are:

  • Highly accurate protein structure prediction with AlphaFold, 2021, Nature
  • Protein complex prediction with AlphaFold-Multimer, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Improved protein structure prediction using potentials from deep learning, 2020, Nature
  • Highly accurate protein structure prediction for the human proteome, 2021, Nature
  • Accurate proteome-wide missense variant effect prediction with AlphaMissense, 2023, Science

Frequent co-authors in their collaborations include:

  • Pushmeet Kohli
  • Demis Hassabis
  • John Jumper
  • Alexander Pritzel
  • Lai Hong Wong

The scientist regularly publishes in venues such as:

  • Nature
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Science

Best Publications

  • Highly accurate protein structure prediction with AlphaFold

    John M. Jumper;Richard O. Evans;Alexander Pritzel;Tim Green

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

    G. Hinton;Li Deng;Dong Yu;G. E. Dahl

  • WaveNet: A Generative Model for Raw Audio

    Aäron van den Oord;Sander Dieleman;Heiga Zen;Karen Simonyan

  • Large Scale Distributed Deep Networks

    Jeffrey Dean;Greg Corrado;Rajat Monga;Kai Chen

  • Protein complex prediction with AlphaFold-Multimer

    Richard Evans;Michael O'Neill;Alexander Pritzel;Natasha Antropova

  • Improved protein structure prediction using potentials from deep learning

    Andrew W. Senior;Richard Evans;John Jumper;James Kirkpatrick

  • Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling

    Hasim Sak;Andrew W. Senior;Françoise Beaufays

  • Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton;Li Deng;Dong Yu;George Dahl

  • Highly accurate protein structure prediction for the human proteome

    Kathryn Tunyasuvunakool;Jonas Adler;Zachary Wu;Tim Green

  • Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

    Tara N. Sainath;Oriol Vinyals;Andrew Senior;Hasim Sak

  • Guide to Biometrics

    Ruud M. Bolle;Jonathan H. Connell;Sharath Pankanti;Nalini K. Ratha

  • Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

    Hasim Sak;Andrew W. Senior;Françoise Beaufays

  • Statistical parametric speech synthesis using deep neural networks

    Heiga Ze;Andrew Senior;Mike Schuster

  • Recent advances in the automatic recognition of audiovisual speech

    G. Potamianos;C. Neti;G. Gravier;A. Garg

  • Lip Reading Sentences in the Wild

    Joon Son Chung;Andrew Senior;Oriol Vinyals;Andrew Zisserman

  • Improving the speed of neural networks on CPUs

    Vincent Vanhoucke;Andrew Senior;Mark Z. Mao

  • Deep Audio-visual Speech Recognition

    Triantafyllos Afouras;Joon Son Chung;Andrew W. Senior;Oriol Vinyals

  • On rectified linear units for speech processing

    M. D. Zeiler;M. Ranzato;R. Monga;M. Mao

  • Learning the Speech Front-end with Raw Waveform CLDNNs

    Tara N. Sainath;Ron J. Weiss;Andrew W. Senior;Kevin W. Wilson

  • Appearance models for occlusion handling

    Andrew W. Senior;Arun Hampapur;Ying-li Tian;Lisa M. Brown

  • The shared views of four research groups )

    Geoffrey Hinton;Li Deng;Dong Yu;George E. Dahl

Frequent Co-Authors

Arun Hampapur
Arun Hampapur Bloom Value
Yingli Tian
Yingli Tian City University of New York
Lisa M. Brown
Lisa M. Brown Albert Einstein College of Medicine
Jonathan H. Connell
Jonathan H. Connell IBM (United States)
Hasim Sak
Hasim Sak Google (United States)
Nalini K. Ratha
Nalini K. Ratha University at Buffalo, State University of New York
Sharath Pankanti
Sharath Pankanti IBM (United States)
Chalapathy Neti
Chalapathy Neti IBM (United States)
Vincent Vanhoucke
Vincent Vanhoucke Google (United States)
Ruud M. Bolle
Ruud M. Bolle IBM (United States)

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