Georgia Tech
Clare LyleSenior Research Scientist · Google DeepMindResearcher↗
Researcher
Ashley Edwards
Google DeepMindStaff Research Scientist
Edwards builds world models that learn the hidden actions, goals and dynamics behind observed video. At Google DeepMind she develops foundation models for reinforcement learning, continuing work that lets agents infer how environments operate from visual experience rather than requiring every action and reward to be labeled.
Career & education
Current roleGoogle DeepMind2025-presentStaff Research Scientist
Google DeepMind2025-presentPreviously
Runway2024-2025Member of Technical StaffGoogle DeepMind2020-2024Senior Research Scientist
Uber2019-2020Research Scientist
Runway2024-2025Google DeepMind2020-2024Uber2019-2020Education
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.
citations3,596As of Oct 22, '26
citations+691Since last snapshot, Jun 15, '26
Selected contributions
A Generalist Agent
With Scott Reed, Konrad Żołna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez and others ·Gato brought language, games, image descriptions and robot control into a single model.
Genie: Generative Interactive Environments
With Jake Bruce, Michael D Dennis, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar and others ·Genie learns from videos to turn an image into a controllable virtual world.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 10, 2026 · Checked for accuracy and new information.
