Dr Annette Payne
Lecturer
Wilfred Brown Building 210
- Email: annette.payne@brunel.ac.uk
- Tel: +44 (0)1895 266295
Summary
Having gained a PhD in 1992 in Molecular Biology from the Royal Postgraduate Medical College, University of London I undertook two post doctorial positions; the first at the National Heart and Lung Institute, University of London researching the molecular biology of atherosclerosis, the second at The Institute of Ophthalmology, University of London researching the molecular genetics of retinal diseases, before joining Brunel University London Dept. of Bioscience in 2000. I have since transferred to the Department of Computer Science as my interest in computational biology grew. I have now additional research interests in technology and computer assisted learning, and the use of technology to monitor and manage medical conditions. I have over 100 peer reviewed publications many of them can be found on my Research Gate profile at http://www.researchgate.net/profile/Annette_Payne/publications/?dbw=true These publications highly cited over 2000 times by other researchers (RG score of over 35 most months, and a ISI h-index of 28).
Responsibility
Serve on the University Ethics Committee
Head the Athena Swan Committee for the Department of Computer Science and I am on the University Athena Swan Committee
Serve on the University Safeguarding Committee
Recognised Programme Development Advisor for the University
Newest selected publications
Tomlinson, A., Lane, J., Julier, G., Grigsby-Duffy, L., Payne, A., Mansfield, L., et al. (2020) 'Qualitative findings from a systematic review: Visual arts engagement for adults with mental health conditions1'. Journal of Applied Arts & Health, 11 (3). pp. 281 - 297. ISSN: 2040-2457 Open Access Link
Yue, W., Wang, Z., Tian, B., Payne, A. and Liu, X. (2020) 'A Collaborative-Filtering-Based Data Collection Strategy for Friedreich’s Ataxia'. Cognitive Computation, 12 (1). pp. 249 - 260. ISSN: 1866-9956
Ghorbani, M., Pousset, F., Tucker, A., Swift, S., Giunti, P., Parkinson, M., et al. (2019) 'Analysis of Friedreich's ataxia patient clinical data reveals importance of accurate GAA repeat determination in disease prognosis and gender differences in cardiac measures'. Informatics in Medicine Unlocked, 17 (2019). pp. 1 - 8. ISSN: 2352-9148 Open Access Link
Mansfield, L., Kay, T., Meads, C., Grigsby Duffy, L., Lane, J., John, A., et al. (2018) 'Sport and dance interventions for healthy young people (15-24 years) to promote subjective wellbeing: A systematic review'. British Medical Journal Open, 8 (7). pp. 1 - 16. ISSN: 2044-6055 Open Access Link
Yue, W., Wang, Z., Chen, H., Payne, A. and Liu, X. (2018) 'Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis'. Designs, 2 (2). pp. 13 - 13. ISSN: 2411-9660 Open Access Link