RESEARCHER PROFILE

Demis Hassabis

Google DeepMind

Memory and Neural MechanismsReinforcement Learning in RoboticsNeural dynamics and brain functionArtificial Intelligence in GamesProtein Structure and Dynamics

ORCID ↗

10Linked publications

197645Citations

92h-index

UnclaimedProfile status

About Demis Hassabis

Demis Hassabis is a researcher affiliated with Google DeepMind. This profile connects verified scholarly identity information and publication records from OpenAlex and DOI sources. Research areas include Memory and Neural Mechanisms, Reinforcement Learning in Robotics, Neural dynamics and brain function, Artificial Intelligence in Games, Protein Structure and Dynamics.

Research publications

2026-07-02 · arXiv (Cornell University)

Gemma 4 Technical Report

Accelerating scientific discovery with Co-Scientist

Towards Autonomous Mathematics Research

Advancing regulatory variant effect prediction with AlphaGenome

AI as the Ultimate Tool for Science: A Conversation with Demis Hassabis

SIMA 2: A Generalist Embodied Agent for Virtual Worlds

Olympiad-level formal mathematical reasoning with reinforcement learning

AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model

Bridging the human–AI knowledge gap through concept discovery and transfer in AlphaZero

Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3