Scholar
Ryan Burnell
Google Scholar ID: xJuT6PMAAAAJ
Google DeepMind
Citations & Impact
Citations
3,768
H-index
14
i10-index
15
Publications
20
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- His work has been published in top journals, including Science. He has received grant funding from various sources, including the EU Horizon’s Trustworthy AI Network, and served on the board for the Society for Applied Research in Memory and Cognition.
Research Experience
- Prior to joining DeepMind, Ryan worked as a researcher at the Alan Turing Institute, The University of Cambridge, and Imperial College London.
Background
- A Research Scientist focused on applying theories and experimental paradigms from cognitive science to help build more capable, robust, and safe AI systems, with a focus on human data and cognitive evaluations.
Miscellany
- Contributed to the Gemini 1.5 family of multimodal models; acted as a respondent at the 2023 Margaret Boden Lecture; spoke about methods of evaluating general-purpose AI systems; showed that over-reliance on aggregate metrics and lack of transparency in reporting threatens public understanding and hinders progress in the field; awarded grant funding from the EU Trustworthy AI Network (TAILOR) to develop more robust methods for evaluating the capabilities of foundation models; co-organized an event on making AI systems more predictable.
