Caroline Esnault is a bioinformatician with 7+ years of experience building and deploying next-generation sequencing analysis pipelines and interpreting genome-, transcriptome-, epigenome- and nuclear-architecture datasets at NIH. Trained as a population geneticist with a PhD, she combines deep wet-lab experience with hands-on computational development, statistical validation and mentoring from postdoc work on transposable elements to a core bioinformatics role supporting diverse projects. She excels at turning complex sequencing data into publication-ready figures and actionable experimental design advice, and routinely provides training and consulting on best practices. Based in Bethesda, MD, Caroline’s trajectory shows a long-standing fascination with genome dynamics and a practical knack for integrating experimental and computational approaches to reveal regulatory and adaptive mechanisms.
7 years of coding experience
Master, Population Genetics and Evolution, Master, Population Genetics and Evolution at University Pierre et Marie Curie (Paris 6 - France)
Doctor of Philosophy (Ph.D.), Population Genetics and Molecular Genetics, Doctor of Philosophy (Ph.D.), Population Genetics and Molecular Genetics at Université Claude Bernard Lyon 1
Biology Technical degree, Biological and Biochemical Analyses, Biology Technical degree, Biological and Biochemical Analyses at IUT Creteil
Tool to map and quantify retroelements integrations
Contributions:3 releases, 11 PRs, 42 pushes in 6 months
mapintegrations
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