Dr Michael lay
Head of Project Information Science
- Information Security Coordinator and Information Governance Lead
Michael’s role encompasses strategic oversight over a number of programming and bioinformatics initiatives with NDPH, as well as responsibility for Information Security and Governance. Michael directs and supervises a large team of programmers working on a number of large scale projects, particularly UK Biobank, HPS3/TIMI55-REVEAL and ASCEND, but also a number of other large-scale clinical trials. He also manages the Information Governance team within NDPH which handles initiatives including the NHS Information Governance Toolkit and ISO 27000.
Michael takes the direct programming lead on a number of bioinformatics initiatives, particularly with respect to the use of registry data and other resources to enhance and streamline clinical trials.
Prior to joining CTSU in 1996, Michael graduated with a double first class Physics degree from Brasenose College in Oxford and subsequently obtained a doctorate from Oxford for his work on the Sudbury Neutrino Observatory; the leader of the project was awarded Nobel prize for physics (2015). During this period he also held a junior teaching fellowship at Corpus Christi College, Oxford, and moved on to work as a post-doctoral researcher in Oxford, continuing his work on computer simulations of the observatory.
Effects of n-3 Fatty Acid Supplements in Diabetes Mellitus.
ASCEND Study Collaborative Group None. et al, (2018), N Engl J Med, 379, 1540 - 1550
Effects of Aspirin for Primary Prevention in Persons with Diabetes Mellitus.
ASCEND Study Collaborative Group None. et al, (2018), N Engl J Med, 379, 1529 - 1539
Effects of Vitamin D on Blood Pressure, Arterial Stiffness, and Cardiac Function in Older People After 1 Year: BEST-D (Biochemical Efficacy and Safety Trial of Vitamin D).
Tomson J. et al, (2017), J Am Heart Assoc, 6
Optimum dose of vitamin D for disease prevention in older people: BEST-D trial of vitamin D in primary care.
Hin H. et al, (2017), Osteoporos Int, 28, 841 - 851
Cost-effective recruitment methods for a large randomised trial in people with diabetes: A Study of Cardiovascular Events iN Diabetes (ASCEND).
Aung T. et al, (2016), Trials, 17