Adam Smith is a Bioinformatics Scientist based in Basel with 10 years' experience applying statistics and computational analysis to diverse biological datasets, from prokaryote comparative genomics to single-cell RNA-seq and proteomics. He has driven bioinformatics work across academia and research institutes, including time-series and epigenomic analyses in C. elegans at the Friedrich Miescher Institute and lipidomics QC and statistical support at the Baker Heart and Diabetes Institute. Trained as an applied statistician with a PhD-level background in computational biology, he combines rigorous methodological skills with hands-on pipeline development and data management. Adam regularly bridges wet-lab and computational teams, teaching and providing analysis services while tackling complex multi-omics integration problems. An often-overlooked strength is his breadth across experimental systems—clinical samples, mouse immunology, development, and microbes—allowing him to translate methods between fields.
10 years of coding experience
7 years of employment as a software developer
Scientific Baccalauréat, Natural Sciences, Bac' S SVT mention BIEN, Scientific Baccalauréat, Natural Sciences, Bac' S SVT mention BIEN at Lycée Jean Zay, Jarny
Master's degree, Applied Statistics, Master's degree, Applied Statistics at Ecole Nationale Supérieure d'Agronomie de Rennes
Preparatory courses for French Grande Ecole, Natural Sciences, Preparatory courses for French Grande Ecole, Natural Sciences at Lycée Henri Poincaré, Nancy
Webpage of the "Introduction to RNA-Seq: From quality control to pathway analysis - streamed" SIB course.
Contributions:28 commits, 3 PRs, 2 comments in 12 days
quality-controlrnaseqpathwaypathway-analysissib
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