The main mission of the Matrix Scientific Advisory Board (SAB) is to offer academic and strategic advice as well as benchmark the performance of the Centre internationally. The SAB consists of internationally renowned clinicians and researchers with expertise in precision medicine and cancer research.
The following experts constiute the MATRIX SAB:
Professor Higginson, OBE, is Executive Dean of the Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care and Faculty Vice Dean (Research). She is also Director of the Cicely Saunders Institute at King’s College London, the world’s first purpose-built Institute of palliative care, integrating research, education, clinical services and support and information.
Professor Lehtiö is the director of the Karolinska University Hospital’s clinical proteomics facility and director of the clinical proteomics mass spectrometry facility at the national research centre Science for Life Laboratory in Stockholm. His major research interest is to improve proteomics and proteogenomics to obtain new molecular information on cancer and use this information to improve and personalize future cancer treatments.
Professor Loges is director of the DKFZ-Hector Cancer Institute and Chair of the Department for Personalised Oncology, University Medical Centre Mannheim, University of Heidelberg, as well as head of the Division of Personalised Medical Oncology at the German Cancer Research Centre in Heidelberg.
Professor Awada is Head of the Medical Oncology Clinic as well as Head of Oncology Medicine Department at the Jules Bordet Cancer Institute in Brussels. He is also Professor of Clinical Medicine and Medical Oncology at the Université Libre de Bruxelles and member of several international scientific societies (ASCO, EORTC, ESMO).
Peter Hall is an academic Medical Oncologist with a research interest in Health Economics, Data Science and Health Technology Assessment in Cancer. He treats patients with breast cancer within the NHS at the Edinburgh Cancer Centre. The focus of his research is on the development of improved methods for efficient research design, cost-effectiveness analysis and the measurement of clinical and socio-economic outcomes using data obtained from clinical trials and routinely collected within health systems.