Gregoire Fournier

About Me

I am Gregoire Fournier, a PhD candidate in Mathematics at the University of Illinois Chicago (UIC). My research focuses on AI explainability, Graph Neural Networks (GNNs), and large language models (LLMs). I work on improving model interpretability, ensuring fairness, and bridging AI with legal reasoning.

I am looking for opportunities in data science and AI research where I can apply my expertise in machine learning and model interpretability to solve real-world challenges.

Research & Publications

PhD in Mathematics (Sep 2020 - Aug 2025) - University of Illinois Chicago

• Developed legal argument generation using large language models (LLMs), featured in JURIX 2024.
• Designed a counterfactual explainer for Graph Neural Networks, under review at ICML 2025.
• Explored logic-based interpretability methods for Graph ML, under review at LICS 2025.
• Current work: Developing a hybrid framework that integrates fine-tuned LLMs with structural graph insights for better AI interpretability.

Completed Research Papers

• Legal Argument Generation in Landlord-Tenant Issues
• Global Graph Counterfactual Explainer for Graph Neural Networks
• Counting Game and an Application to Linear Orders

Contact & Online Profiles

• GitHub Profile
• LinkedIn
• Email: gregoire at fournier 5 dot gmail dot com
• My resume