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About my work

AI researcher and open science advocate with extensive experience across multi-agent systems, deep learning, and scientific ML. Currently advancing AI-for-science at Hugging Face, building datasets, tools, and collaborations that accelerate discovery. Former DeepMind Scholar at Oxford (MSc), with prior physics training from Imperial. Co-author of award-winning work on agent debate for misinformation detection (ICML 2024), and frequent contributor to open-source and academic communities.

Experience

Machine Learning for Science

Current

Hugging Face2025-04-29 – Present

Leading initiatives in AI for science.

Staff Researcher

Global Computing Laboratory2022-06-01 – 2023-10-01

C4ADS

Data Scientist2021-09-01 – 2022-06-01

Research papers

Toward robust real-world audio deepfake detection: Closing the explainability gap

Published: 2024-10-09

Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification

Published: 2023-08-07

MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection

Published: 2025-07-19

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