Dr Isabel Sassoon
Lecturer in Computer Science
Wilfred Brown Building 111
- Email: email@example.com
- Tel: +44 (0)1895 268799
Dr Isabel Sassoon is a Lecturer in Computer Science at Brunel University. Before joining Brunel Isabel was Research Associate on the CONSULT (Collaborative Mobile Decision Support for Managing Multiple Morbidities), an EPSRC funded project in the Department of Informatics in King’s College London. This project developed a collaborative mobile decision-support system to help patients suffering from chronic diseases to self-manage their treatment, by bringing together and reasoning with wellbeing sensor data, clinical guidelines and patient data. Prior to that Isabel was Teaching Fellow in the Department of Informatics in King’s College London, primarily on the Data Science MSc.
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. Her current research continues to explore how computational argumentation can assist in model explainability and trust.
Newest selected publications
Kökciyan, N., Chapman, M., Balatsoukas, P., Sassoon, I., Essers, K., Ashworth, M., (2019) 'A collaborative decision support tool for managing chronic conditions'. Netherlands. 21 Studies in Health Technology and Informatics. pp. 644 - 648. ISSN: 0926-9630et al.
Balatsoukas, P., Porat, T., Sassoon, I., Essers, K., Kokciyan, N., Chapman, M., (2019) 'User Involvement in the Design of a Data-Driven Self-Management Decision Support Tool for Stroke Survivors'.IEEE EUROCON 2019 -18th International Conference on Smart Technologies. IEEE.et al.
Sassoon, I., Zillessen, S., Keppens, J. and McBurney, P. (2019) 'A formalisation and prototype implementation of argumentation for statistical model selection'. Argument and Computation, 10 (1). pp. 83 - 103. ISSN: 1946-2166
Sassoon, I., Kökciyan, N., Sklar, E. and Parsons, S. (2019) 'Explainable argumentation for wellness consultation'. Springer International Publishing. pp. 186 - 202. ISSN: 0302-9743
Tighe, D., Sassoon, I. and McGurk, M. (2017) 'Validating a benchmarking tool for audit of early outcomes after operations for head and neck cancer'. Annals of the Royal College of Surgeons of England, 99 (4). pp. 299 - 306. ISSN: 0035-8843