Publications as lead author have been covered by The Guardian, Time, etc., while others have been discussed by ministers or incorporated into national legislation; co-authored the International AI Safety Report and the Interim Report on the Safety of Advanced AI.
Research Experience
Scientific Lead at Mila, leading the International AI Safety Report; previously completed PhD studies at the University of Oxford and conducted research at the Vector Institute and UC Berkeley.
Education
PhD in ML from the University of Oxford, supervised by Yarin Gal and funded by Google DeepMind; worked on learning human preferences and game-theoretical machine learning with David Duvenaud and Roger Grosse at Toronto’s Vector Institute and UC Berkeley; studied machine learning (UCL), maths (Amsterdam) and Future Planet Studies (Amsterdam).
Background
Research interests include risk management, LLM honesty, health applications, and data selection for large-scale deep learning. Currently the Scientific Lead of the International AI Safety Report, a project backed by 33 nations and intergovernmental organizations.