Stefan Ebmeyer is a bioinformatics specialist with nine years of experience applying computational methods to genomic and metagenomic data, currently supporting Swedish research through the National Bioinformatics Infrastructure Sweden (NBIS). He holds a PhD in Bioinformatics from the University of Gothenburg and has a strong track record using Python and R to build analysis pipelines, develop tools (including the comparative genomics package GEnView), and maintain research computing infrastructure. His postdoctoral work applied machine learning to trace the evolution of antibiotic resistance and produced reusable software for bacterial growth-curve analysis. Comfortable bridging academia and service-oriented bioinformatics, he combines hands-on tool development with teaching and collaborative analysis in international projects. Based in Gothenburg, he brings domain expertise in microbial genomics and a practical bent for turning complex data into reproducible insights.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at University of Konstanz
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of Gothenburg
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