I am a Postdoctoral Researcher in AI

at the Department of Computing, Imperial College London.

I work on Explainable AI, using computational argumentation to design inherently interpretable models and methods that support transparent decision making in fields such as medical reasoning, legal informatics, mathematical optimisation.

I manage researchers, enthusiastically supervise and teach students, collaborate internationally in interdisciplinary research, publish and present my work at top tier international conferences and journals, review and assess the works of others and give highest quality feedback, organise research events, represent and speak on behalf of my colleagues and fellow AI researchers during institutional and public engagement opportunities.


I presented AI-assisted Schedule Explainer to general public at The Great Exhibition Road Festival in June 2019.

Assumption-Based Argumentation at AAMAS

I have 3 papers published and presented at AAMAS, a premier AI conference, in May 2019. (24.3% acceptance rate)


I am a Highly Distinguished Reviewer (two years in a row) of IJCAI 2019, a premier AI conference.

I organise Imperial's Explainable AI seminars.

Explaining Legislation

I have published Explanations by Arbitrated Argumentative Dispute at Expert Systems with Applications, a premier international journal on applications of intelligent systems.


Explainable AI (XAI)

I am particularly interested in explainable reasoning using symbolic AI, working specifically on computational argumentation for making and explaining decisions using mined data, with applications to mathematical optimisation, clinical decision support, legal reasoning. XAI research currently spans across many of my activities.


EPSRC project: Resource Optimisation, Argumentation, Decision support and Knowledge Transfer to create Value via Learning Health Systems.
I apply computational argumentation methods to explainable reasoning with clinical guidelines and integration with optimisation.

Analysing the Passage of UK Parliament Bills

Project in collaboration with Thomson Reuters, Data Science Institute and Imperial College Business School. I have driven the development of both methodology and a working system to explain primary legislation outcomes.

Other activities

I engaged with UK policy-makers at The Forum: AI & Health on March 3.
I participated at an Explainability Expert Roundtable discussion on Explainable AI, at The Alan Turing Institute.
I am a highly distinguished reviewer at IJCAI-ECAI 2018, a premier AI conference.
I appear in Imperial's Industry issue on Explainable AI.


I consider these the most important:


Contact Information

  • Address

    Room 433
    Department of Computing, Imperial College London
    180 Queen's Gate, SW7 2AZ, London, UK
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