Toby Johnson is an executive leader in genomic technologies with 11+ years at GSK, now directing a 40-person team that translates human genetic and -omics data into drug discovery and clinical decisions. Trained in mathematics and mathematical population genetics (PhD, Edinburgh), he blends deep statistical genetics and computational expertise with hands-on programming in R, Python, Spark and C++. His research career includes high-impact consortium work on blood pressure genetics and early demonstrations of fine-scale European population structure, with publications recognised by the American Heart Association. Toby specializes in causal inference, Mendelian randomization, pharmacogenomics and inference from summary statistics, uniquely pairing methodological innovation with enterprise-scale analytics. Colleagues describe him as a scientist-leader who moves seamlessly between developing novel statistical methods and delivering actionable genomic insight for translational programs.
11 years of coding experience
11 years of employment as a software developer
PhD Mathematical population genetics, PhD Mathematical population genetics at The University of Edinburgh
Contributions:7 pushes, 1 branch, 2 issues in 1 day
genomeinfergenetic-datageneticsubjects
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