This article only references primary sources. (November 2026) |
Stephen Burgess | |
|---|---|
| Alma mater | University of Cambridge (BA, MMath, PhD) |
| Known for | Mendelian randomization, causal inference |
| Awards | Clarivate Highly Cited Researcher (2019–2025) |
| Scientific career | |
| Fields | Statistics, Epidemiology |
| Workplaces | MRC Biostatistics Unit, University of Cambridge |
| Simon G. Thompson | |
Stephen Burgess is a British statistician and genetic epidemiologist. He is a Research Professor at the University of Cambridge and a Programme Leader at the MRC Biostatistics Unit. His primary area of research is the development of statistical methods for Mendelian randomization and causal inference using genetic data.
Burgess attended studied mathematics at Emmanuel College, Cambridge where he studied mathematics and received a Bachelor of Arts degree in 2005. He also obtained a Master of Mathematics degree in 2006. He received his PhD from the University of Cambridge's MRC Biostatistics Unit in 2012. His doctoral research examined the use of genetic instrumental variables in Mendelian randomization analyses.
After completing his doctorate, Burgess joined the Cardiovascular Epidemiology Unit in the University of Cambridge's Department of Public Health and Primary Care. In 2013, he received a Sir Henry Wellcome Postdoctoral Fellowship. In 2017, he was appointed Programme Leader Track at the MRC Biostatistics Unit. He became a Programme Leader in 2022 and a Research Professor in 2025. He still maintains an affiliation with the Cardiovascular Epidemiology Unit and has been a fellow at Homerton College, Cambridge since 2014.
Burgess is Director of Statistics at Sequoia Genetics. He has served as an associate editor of the International Journal of Epidemiology and previously served as an associate editor of the American Journal of Human Genetics. He is a member of the steering committee of the European Causal Inference Meeting.