Georgia Channing

About me

AI4Science @ HuggingFace | PhD @ Oxford | Deep Learning & Agents

Areas of Expertise

Machine LearningAI ResearchMulti-Agent Systems

Ask Me About

• AI for scientific discovery • Multi-agent systems • Open science and collaborative research • Building ML datasets and tools

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.

Work Experience

Machine Learning for Science

• Current

Hugging Face

Leading initiatives in AI for science.

Past Experience

Staff Researcher

Global Computing Laboratory

C4ADS

Data Scientist

Founder

Algorithms Awareness Project

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

A methodology to generate efficient neural networks for classification of scientific datasets

Published: 2022-10-11

Fact-checking with contextual narratives: Leveraging retrieval-augmented llms for social media analysis

Published: 2025-04-14