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 Face
Leading initiatives in AI for science.
Staff Researcher
Global Computing Laboratory
C4ADS
Data Scientist
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
