I am a Staff Research Engineer at Google DeepMind in London. working on Safety and Fairness of Generative AI models (Gemini).
morePublications
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Gaps in the Safety Evaluation of Generative AI
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2024 -
Holistic Safety and Responsibility Evaluations of Advanced AI Models
Google DeepMind, UK, 2024 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Google DeepMind, UK, 2024 -
Gemma: Open Models Based on Gemini Research and Technology
Google DeepMind, UK, 2024 -
Gemini: a family of highly capable multimodal models
Google DeepMind, UK, 2023 -
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity
Google DeepMind, UK (NeurIPS 2023 MP2 Workshop Poster) -
Improving alignment of dialogue agents via targeted human judgements
Google DeepMind, UK, 2022 -
Melting Pot 2.0
Google DeepMind, UK, 2022 -
Sum-Product Copulas
MPhil Thesis, University of Cambridge, UK, 2019 -
Why is AI "a sea of dudes"? Using data science and NLP methods to understand gender imbalance in a scientific community.
BEng Thesis, The University of Edinburgh, UK, 2018 -
Recognizing emotions in video using multimodal DNN feature fusion
Winner of the Emotion Recognition Track, Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML), 2018 -
DNN multimodal fusion techniques for predicting video sentiment
Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML), 2018
Education
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MPhil in Machine Learning and Machine Intelligence, 2019
University of Cambridge -
BEng in Computer Science, 2018
The University of Edinburgh