Summary
Jessica Bonnie is a computational genomics researcher and PhD candidate at Johns Hopkins with 11 years of experience applying data science and software engineering to large-scale genomic problems. She specializes in genomic sketching and similarity metrics, bringing mathematical rigor and multi-language systems engineering to assembly comparison and population-scale analyses. Previously a lead data scientist at Booz Allen, she built multi-tool pipelines and automated workflows that reduced human error and accelerated production analyses across varied domains. A certified Software Carpentry instructor, she pairs clear pedagogy with hands-on coding in Python, Bash, R and C to make complex methods accessible to collaborators. Her background in high-throughput genotyping and building tailored analytic toolchains gives her a practical edge in turning theoretical methods into reproducible, efficient software.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Goucher College
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Johns Hopkins Whiting School of Engineering
University of Virginia
French, Spanish, Latin