I spent 12 years at Google DeepMind, most recently as a Distinguished Research Scientist working on recursive self-improvement for Gemini. I co-founded the Gemini Prototyping team, and built the prototypes that led to AI Mode in Google Search and to Generative UI. Before that I led two teams at DeepMind: DLX, on generative models, self-supervised learning and multimodal language models; and Quantum Chemistry and Materials.
Earlier I was a postdoctoral researcher at Microsoft Research Cambridge with John Winn, and did my PhD at the University of Edinburgh with Christopher Williams.
Selected Work
Language Models
- Gemini 2024–2026
- AI Mode in Google Search 2025
- Generative UI 2025
- Multimodal Few-Shot Learning with Frozen LMs NeurIPS 2021
Medicine
- Diagnostic AI with Multimodal Reasoning Nature Medicine 2026
- Clinician–AI Collaboration in Radiology Nature Medicine 2024
- Capabilities of Gemini Models in Medicine 2024
Learning Without Labels
- Human-Aligned Visual Representations from Video NeurIPS 2023
- Data-Efficient Image Recognition with CPC ICML 2020
- Representation Learning Without Labels ICML 2020 tutorial
Generative Models
- Neural Scene Representation and Rendering Science 2018
- Conditional Neural Processes ICML 2018
- SPIRAL: Synthesizing Programs for Images ICML 2018
- Attend, Infer, Repeat NeurIPS 2016
Science and Robotics
- Quantum Chemistry and Materials Discovery 2021–2023
- Simulated Humanoid Football Science Robotics 2022