I am a Research Associate at the Department of Computing, Imperial College London working on developing novel Learning Health System techniques to facilitate Universal Health Coverage (UHC) in low- and middle-income countries, as part of the ROAD2H Project, in collaboration with the Institute for Global Health Innovation (IGHI) at Imperial College London, King’s College London, University of Belgrade and China National Health Development Research Center (CNHDRC).

Previously I worked on Analysing the Passage of UK Parliament Bills (PI: Prof Francesca Toni), in collaboration with Thomson Reuters, Data Science Institute and Imperial College Business School.

My research interests are:
  • Computational argumentation 
    (abstract argumentation (AA), assumption-based argumentation (ABA), ABA+ and its implementation ABAplus, etc.)
    and its applications
    (to e.g. case-based reasoning, legal reasoning)
  • Common-sense reasoning 
    (e.g. non-monotonic, defeasible, default reasoning)
  • Reasoning with preferences 
    (e.g. argumentation, logic programming, common-sense reasoning with preferences)
  • Case-based reasoning and explanations
  • Integration of knowledge representation and reasoning paradigms with machine learning
I maintain general academic interests in Artificial Intelligence, Models of Reasoning, Logic (both classical and non-classical), Philosophy of Mathematics.

You can find me in:
Department of Computing, Imperial College London
Room 433, Huxley Building, South Kensington Campus
180 Queen's Gate, London SW7 2AZ, UK