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Personal profile


I'm a postdoctoral Research Associate in Epidemiology and Statistics at Professor Tjeerd van Staa's team. In the framework of the BRIT2 project, I do research on a knowledge support system for prescribing antibiotics in primary care, aiming to optimise and personalise the prescribing of antibiotics. We analyse the effect of the Covid19 pandemic on the prescribing of antibiotics and other consequent complications of using antibiotics. We also analyse and interpret the risks of polypharmacy.


I completed a PhD in Computer Science under supervision of Dr William Marsh at Queen Mary University of London, UK. In my PhD, I focused on the Rheumatoid Arthritis (RA) case study of the EPSRC-funded PamBayesian project led by Professor Norman Fenton. I closely collaborated with a rheumatologist team and we built multiple Bayesian network models for diagnosis, self-management, and personalised care of RA. These models can help clinicians and patients to improve their decision-making and manage the quality of life of RA patients. My PhD thesis is available in this link. Prior to my PhD, I gained a Master's degree in Management Engineering from Istanbul Technical University, Turkey and a Bachelor's degree in Industrial Engineering from the University of Tabriz, Iran.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 5 - Gender Equality

Education/Academic qualification

Doctor of Philosophy, Decision-Support for Rheumatoid Arthritis Using Bayesian Networks: Diagnosis, Management, and Personalised Care, Queen Mary University of London

Award Date: 28 Feb 2022


  • Decision support systems
  • statistics
  • explainable artificial intelligence
  • causal inference


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