Isabel’s research interests are in data-driven automated reasoning, and its transparency and explainability. Her PhD research developed a computational argumentation-based system to support the appropriate selection of statistical model given a research objective and available data. More recently as part of the Modelling and Simulation research group at Brunel Isabel has been worked on Flu and Coronavirus Simulations. As part of the CONSULT project Isabel focused on the analysis and integration of different data (clinical, EHR and wellness sensor data), as well as the development of the automated reasoning in support of providing personalised recommendations to patients.
Isabel is a Lecturer in Computer Science (Data Science) at Brunel University, and a Visiting Researcher in the Department of Informatics at King’s College London.