Hung NGUYEN
CIFRE PhD Student — Institut Polytechnique de Paris (IP Paris) × Nokia Bell Labs
About Me
I am a CIFRE PhD student at Institut Polytechnique de Paris and Nokia Bell Labs, conducting research on combining Knowledge Graphs and Large Language Models (LLMs) to improve the reliability and factual grounding of AI-generated content.
My work is supervised by Prof. Mehwish Alam, Dr. Alonso Silva, and Dr. Liubov Tupikina.
My research focuses on structured generation, symbolic reasoning, and neuro-symbolic integration, bridging structured knowledge and neural representations for more interpretable and trustworthy AI systems.
Previously, I earned my Master’s in Mathematics and Machine Learning (IASD - Mathematics Track) from PSL University (University Paris Dauphine × ENS PSL) with High Honors.
News
- (Work in progress) Research on structured generation is ongoing.
Research Interests
- Knowledge Graphs & Graph Representation Learning
- Large Language Models (LLMs) & Structured Generation
- Symbolic and Neuro-Symbolic AI
- Reliable and Interpretable AI Systems
- Deep Metric Learning and Transformers
Short Bio
- 2025–Today: CIFRE PhD student at IP Paris × Nokia Bell Labs, supervised by Prof. Mehwish Alam, Dr. Alonso Silva, and Dr. Liubov Tupikina.
- Apr 2024–Oct 2024: Research on the application of Deep Learning in one- and multi-step retrosynthesis, supervised by Prof. Tristan Cazenave and Dr. Milo Roucairol.
- 2022–2024: Master’s in Mathematics and Machine Learning, PSL University, High Honors.
Publications
Current Teaching Activities
- Language Modeling, IP Paris
- Language Models and Structured Generation, IP Paris