Edward Meinert is a Sir David Cooksey Fellow in Healthcare Translation. This fellowship is focused on bridging two major gaps in healthcare translation. Firstly, to support deep academic research into non-laboratory biomedical research, including technology development, regulation, intellectual property, clinical adoption and biomanufacturing - areas that currently receive limited support from traditional grant-making organisations. Secondly, to sustainably support the training and development of future translational academic and industry leaders, to ensure that the appropriate skills are available to support biomedical innovations globally across the "Valley of Death".
Edward read Software Engineering (MSc) and Business Administration (MBA) at the University of Oxford (Exeter College), Theology and Religous Studies (BA) at the University of Cambridge (Hughes Hall), Public Administration (MPA) at the London School of Economics and is a final year doctoral degree candidate in Clinical Medicine Research at Imperial College London under the supervision of Associate Professor Josip Car and Professor Azeem Majeed. Edward is Chartered Engineer (Engineering Council), a Fellow of the British Computer Society and a Fellow of the Chartered Management Institute.
BA MSc MBA MPA CEng FBCS FCMI
Sir David Cooksey Fellowship in Healthcare Translation
THE DESIGN, DEVELOPMENT AND EVALUATION OF DIGITAL HEALTHCARE INNOVATIONS TO IMPACT ANALYSIS AND INSIGHT OF HEALTHCARE DATA
Edward Meinert is a Chartered Engineer specialising in digital strategy and software engineering. Edward is a member of Dr David Brindley's research group, whose focus is on high-impact research in regenerative medicine (cell, gene, immuno-therapies and tissue engineering) and e-health – including medicines optimisation and supply chain security.
Edward's research portfolio is centred on the use of digital technology in medicine. His primary research interests are standards for the architecture of digital systems and software application development for enhancement of data collection and information dissemination, with a primary aim to improve cost, impact on analytics and adoption. He is particularly interested in applications to novel regulatory and therapeutic contexts, such as adaptive and long-term trials focused on preventive medicine, where there are significant opportunities to derive insight from improved data analytics and where standards are yet to be established.
European Institute for Innovation and Technology (EIT) Health, Higher Education Funding Council for England (HEFCE), NHS England, European Institute for Innovation and Technology (EIT) Digital