CV

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Research Interests

My research investigates the mechanisms underlying reasoning in large language models: how reasoning behaviour is induced, whether chain-of-thought reflects the computation that actually drives a model’s answer, and how far reasoning skills learned in one domain transfer to another. I approach this by combining behavioural and mechanistic analysis with neuro-symbolic methods.

This builds on a broader background in information extraction and language understanding (e.g., event relation extraction, event graph generation, and question answering) and is grounded in applied work with legal and law-enforcement partners, where reasoning failures carry serious consequences.

Keywords: Reasoning in LLMs; Chain-of-thought Faithfulness; Neuro-Symbolic AI; Textual Event Understanding; Evaluation of LLMs.

Employment

Education

Research Projects and Funding

Teaching and Supervision

Academic Service

Publications

22 peer-reviewed publications — 17 conference papers and 5 journal articles. The full, always-current list lives on the Publications page; the PDF above also contains it in full.

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References

Available on request.