Working at the intersection of Large Language Models, Knowledge Graphs, and Trustworthy AI — focused on fairness, retrieval-augmented reasoning, and agentic AI systems.
First author on all current research outputs, including a manuscript on structural concentration in AI bias research targeting ACM FAccT 2027, and a book chapter on knowledge-graph-based LLM bias mitigation in production with Elsevier.
Public research artifacts and independent projects.
Open to research collaborations, PhD opportunities, and conversations on fairness, knowledge graphs, and LLMs.