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Career

· Research Scientist, DeepMind2025–
· Research Intern, Meta2025–
· Researcher (PhD) in Autonomous Intelligent Machines and Systems CDT, University of Oxford2025–

Publications (16)

Language Model Tokenizers Introduce Unfairness Between Languages
Neural Information Processing Systems · 2023
174
cited
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
International Conference on Learning Representations · 2023
39
cited
Near to Mid-term Risks and Opportunities of Open Source Generative AI
arXiv.org · 2024
19
cited
Prompting a Pretrained Transformer Can Be a Universal Approximator
International Conference on Machine Learning · 2024
19
cited
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
International Conference on Learning Representations · 2024
11
cited
Learning Camera Miscalibration Detection
IEEE International Conference on Robotics and Automation · 2020
11
cited
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
IEEE/RJS International Conference on Intelligent RObots and Systems · 2020
10
cited
SynthID-Image: Image watermarking at internet scale
arXiv.org · 2025
7
cited
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI
International Conference on Machine Learning · 2024
5
cited
HiddenGems: Efficient safety boundary detection with active learning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
3
cited
On the Coexistence and Ensembling of Watermarks
arXiv.org · 2025
3
cited
Robustness of Unsupervised Representation Learning without Labels
arXiv.org · 2022
2
cited
Certifying Ensembles: A General Certification Theory with S-Lipschitzness
International Conference on Machine Learning · 2023
1
cited
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Trans. Mach. Learn. Res. · 2024
1
cited
Universal In-Context Approximation By Prompting Fully Recurrent Models
Neural Information Processing Systems · 2024
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