I am a Data Scientist particularly focused on application of Artificial Intelligence approaches to solving real world problems - mostly within the biomedical domain. To achieve this, I work with domain experts in Neuroscience, Epidemiology, Neurology, Psychology, Radiology and Linguistics in order to understand the problem and develop innovative and pragmatic solutions involving application of Machine Learning, Natural Language Processing and Corpus & Computational Linguistics approaches. Some of the problems I enjoy solving include harmonising data from hetrogenous sources and using the resulting harmonised data to develop prediction models. I hold a PhD in Artificial Intelligence from the University of Leeds with a thesis titled: "Text Analytics to predict causes of death from Verbal Autopsies", an MSc in Software Engineering from Bournemouth University and a BSc in Computing Science from University of Sunderland


I am part of the Interdisciplinary Computing and Complex BioSystems (ICOS) research group, and working closely with Dr Jaume Bacardit and Dr Pawel Widera on the APPROACH project - an interdicplianry research project involving over 25 research centres accross Europe and United States of America. Our aim is to develop harmonisation and machine learning methods to predict the progression of Ostoeathrities. I lead the data harmonisation acitivites of this project. Prior to joining the ICOS group at Newcastle University, I have been involved in several data harmonisation and analytics projects. For a full account of my research acvitivities please visit publications page .

My research interest is broadly grouped under the following themes:

  • Artificial Intelligence - developing hybrid approaches to prediction modelling
  • Corpus & Computational Linguistics
  • Large-sclae Data Integration & Harmonisation


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