About me:

I am a Research Associate in Artificial Intelligence (AI) and Law within the Department of Computer Science at the University of Liverpool and a member of the Argumentation and Representation of Knowledge Group research group. I completed my PhD at King's College London (KCL) under the auspices of my supervisors Simon Parsons, Elizabeth Black and Isabel Sassoon.

My research focuses on the challenge of advancing explainable AI systems that can provide rationales for their outputs. I am interested in building machine learning that is logically coherent and investigating the extent to which such learning can accommodate effective human-computer interaction in order to engender greater trust in the output. In particular, I examine the intersection of neural networks (subsymbolic) and argumentation semantics (symbolic). My most recent work combines hierachical-BERT models with symbolic legal-AI models to evaluate and classify legal cases, with explanations derived the fact-level from the attentions of the hierarchical-BERT models, and at higher levels of legal abstraction using the legal-AI model.