Postdoctoral Research Associate
Working in a translation genetics department alongside clinicians, biologists, and bioinformaticians, mainly on the design and conduct genome-wide association studies.Statistical modelling and data analysis:• Study design • Power and sample size calculations • Data acquisition, cleaning, and management • Descriptive statistics • Data modelling: regression, structural equation modelling (SEM) • Design and analysis of genome-wide association studies (GWAS) • Interpretation of resultsMachine learning:• regression (GLM, elastic net) • classification (logistic regression, random forest) • cluster analysis (k-means, principal components analysis, multidimensional scaling) Programming:• R • Python • SQL • Unix shell scriptingGithub: https://github.com/kenhanscombeGists: https://gist.github.com/kenhanscombeDissemination of scientific research and teaching:• 13 peer-reviewed publications (6 first author publications, 317 citations, h-index=8) • Science news writing for lay audiences • Teaching statistics, R, and genetic association to undergraduates through senior academicsDisease areas:• cerebrovascular disease • inflammatory bowel disease • autoimmune diseaseAchievements:• Early Career Award from the National Institute for Health Research Biomedical Research Centre• Wrote ukbtools: an R package to manipulate and query UK Biobank data• Conceived and initiated a genome-wide association study of physical activity, cardiorespiratory fitness in 100,000 UK Biobank participants• Published in a leading cerebrovascular disease clinical journal, Stroke.• Supervised an intercalated BSc medicine student dissertation• High impact publication
