Rachel Ehrlich is a bioinformatics programmer with 10 years’ experience building production-quality pipelines to assemble and compare bacterial genomes from Illumina and PacBio data. At Drexel University College of Medicine she develops tools for comparative genomics—several available on GitHub, including a Prokka genus-database maker and Roary analysis utilities—and has published work tracking pathogen evolution during chronic infections. Her background in computational biology and machine learning (from roles at Carnegie Mellon) lets her combine phylogenetics, gene-content analyses, and visualization to reveal microbial population dynamics. Based in Philadelphia, she seeks opportunities to apply pipeline engineering to deepen biological insight and improve human health, and she has presented her work at scientific meetings such as SFAF 2018.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science, Biological Sciences, Bachelor of Science, Biological Sciences at Carnegie Mellon University
Contributions:65 commits, 51 pushes, 1 branch in 4 months
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