Authors

Simon Thompson

 

Background

Professor Simon Thompson is Director of Research in Biostatistics in the Cardiovascular Epidemiology Unit within the Department of Public Health and Primary Care.  He is a Fellow of the Academy of Medical Sciences, and a Fellow of Wolfson College Cambridge.  From 2000-2011 he was Director of the MRC Biostatistics Unit in Cambridge, an internationally acclaimed research institute in medical statistics.  He held previous academic appointments at the London School of Hygiene and Tropical Medicine, and as the first Professor of Medical Statistics and Epidemiology at Imperial College London.

Research interests

His research interests are in meta-analysis and evidence synthesis, clinical trial methodology, health economic evaluation, and cardiovascular epidemiology; he has published widely in these areas.  He has collaborated on a number of major clinical trials, recently including all the major UK national trials of screening and treatment for abdominal aortic aneurysms. He has been a strong advocate for biostatistics through his research papers, didactic articles, and contributions to courses and workshops both in the UK and abroad.  He has also taken on a number of responsibilities for the MRC, the Royal Statistical Society, the International Biometric Society, and other international professional societies.

Other links

Departmental webpage: http://www.phpc.cam.ac.uk/people/ceu-group/ceu-senior-research-staff/simon-thompson/

Stephen Burgess

 

Background

Stephen Burgess completed his BA and MMath (Part III) in Mathematics from the University of Cambridge. He studied for a PhD in the MRC Biostatistics Unit, Cambridge, from 2008-11 working on methods for Mendelian randomization analysis. He joined the Cardiovascular Epidemiology Unit in the Department of Public Health and Primary Care of the University of Cambridge in September 2011. In January 2013, Stephen was awarded a Wellcome Trust Fellowship to continue theoretical and applied work in the field of Mendelian randomization. He organizes the unit's working group on applied Mendelian randomization investigations.

Research interests

Stephen’s main area of research is causal inference and specifically methods for Mendelian randomization. This has so far incorporated work on meta-analysis, evidence synthesis, and missing data. He has a specific involvement in problems of inference with weak instruments. He is always open to requests for collaboration, either on theoretical or applied Mendelian randomization projects.

Other links

Departmental webpage: http://www.phpc.cam.ac.uk/people/ceu-group/ceu-research-staff/stephen-burgess/

Google Scholar link: http://scholar.google.com/citations?user=TAE0DykAAAAJ&hl=en

Academia.edu homepage: http://cambridge.academia.edu/StephenBurgess