Sequoia Genetics is a UK-based private limited company founded in 2024. It uses human genetic data to generate translational insights for drug discovery and development, serving pharma, biotech, investors, and academia.

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Location Translation and Innovation Hub, 84 Wood Lane, White City, London, W12 0BZ
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Location Translation and Innovation Hub, 84 Wood Lane, White City, London, W12 0BZ
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Professor Stephen Burgess

Stephen Burgess is a Professor at the University of Cambridge and the Lead Statistician at Sequoia Genetics. He earned his BA and MMath from University Cambridge and completed a PhD at the MRC Biostatistics Unit, focusing on Mendelian randomization. After joining the Cardiovascular Epidemiology Unit in 2011, Stephen received a Wellcome Trust fellowship to continue his work. He later moved to the MRC Biostatistics Unit with a Sir Henry Dale Fellowship and established a research group, where he now leads a team. Recognised as a Highly Cited Researcher since 2019, Stephen has published over 380 papers and is co-chair of the European Causal Inference Meeting. He also leads courses at the University of Cambridge on Mendelian randomization and Genetics in Drug Development.

 

At Sequoia Genetics, Stephen brings extensive expertise in biostatistics, epidemiology, and Mendelian randomization, offering valuable insights into causal inference and genetic analysis through his strong background in advanced statistical methods.