Pierre Monnin

Pierre Monnin is a Junior Fellow in AI at Université Côte d'Azur, conducting research within the Wimmics team at the I3S Laboratory. He also teaches within the EFELIA Côte d'Azur program. His work spans multiple institutions through funded projects like SHACKLE (EU Horizon), ECLADATTA and AT2TA (ANR), with collaborations at Télécom Paris, Università di Bari, and INESC-ID in Lisbon. Previous roles include temporary lecturer at TELECOM Nancy (2023-2024) and researcher at Orange (2020-2023).

Research Interests focus on the knowledge graph lifecycle (construction, matching, refinement, mining, discovery) from neurosymbolic AI and analogical reasoning perspectives. He explores

• Domain knowledge injection into ML models
• Symbolic-semantics for graph embeddings
• Zero-shot bootstrapping techniques
• Context-aware semantic annotation
• Link prediction with constraint enrichment
• Life sciences applications

Recent scientific awards include:

• Best Paper Award at ESWC 2024 (Student & Resource Papers)
• Best Thesis Award from French Association EGC (2022)
• 1st Prize (Accuracy Track) at Semantic Web Challenge (2021)

His teaching portfolio covers AI fundamentals for foreign languages, marketing, and adult education programs, with specialized courses in

• Semantic Web technologies
• NoSQL databases
• XML tools
• Compiler implementation

He supervises multiple PhD students and interns on topics involving neurosymbolic refinement, knowledge reconciliation, and analogical reasoning.

Key software contributions include:

• KGPrune - Web application for thematic Wikidata subgraph extraction
• PyGraft - Synthetic knowledge graph generation tool
• DAGOBAH UI - Semantic table interpretation interface

He also maintains datasets like PGxLOD and YAGO4-LP for pharmacogenomics and link prediction.