Making knowledge useful for learning

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.

Research focus

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.

Toolkit

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.}