I am a Postdoctoral Researcher in AI

at the Department of Computing, Imperial College London.

Argumentation for Explainable Scheduling

I have a paper accepted for publication at AAAI 2019, a premier AI conference.

Distinguished Reviewer

I was recognised as a very distinguished PC member at IJCAI-ECAI 2018, a premier AI conference.

Explainable AI issue

See my thoughs on explainable medical reasoning in Imperial's issue on explainable AI.

Research

I work on the following

mAchine arguIng

I am part of the mAchine arguIng consortium.

We build Transparent Argumentative Intelligence for explainable AI.

ROAD2H

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

In collaboration with Thomson Reuters, Data Science Institute and Imperial College Business School.

I have driven the development of a methodology to explain primary legislation outcomes.

Qualifications

  • PhD Research in Computing (Artificial Intelligence), Imperial College London. 2017

Contact Information

  • Address

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