I structure curricula as knowledge graphs and explore how connected knowledge can help explain students’ mistakes and support personalized feedback. My work brings together ontology, GraphRAG, and agentic systems for education.
Knowledge representation · Connecting curriculum standards, concepts, and prerequisite relationships through knowledge graphs and ontologies.
Learning diagnosis · Exploring graph-grounded retrieval and reasoning to investigate the causes behind incorrect answers.
Educational agents · Developing agentic retrieval and multi-agent workflows for learning support and personalized feedback.
| Area | Technologies & methods |
|---|---|
| Graphs & semantics | Neo4j · Cypher · RDF · OWL · Ontology |
| Retrieval & agents | GraphRAG · LangChain · LangGraph · Agentic RAG |
| Models & experimentation | Python · PyTorch · Hugging Face · Local LLMs · Synthetic data |
| Development | Git · GitHub · Jupyter · VS Code |
Contribution landscape
Building indispensable solutions through data, graphs, and intelligent systems.



