Research Software Engineer at Johns Hopkins Data Science and AI Institute
Cockeysville, Maryland, United States
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Summary
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Senior
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Top School
Maggie Eminizer is a Research Software Engineer with 11 years of experience applying data science, workflow orchestration, and software engineering to scientific problems across medicine, materials science, and high energy physics. Holding a PhD in Physics from Johns Hopkins, she blends rigorous experimental research training with practical engineering—building image analysis tools for multiplex immunofluorescence and streaming/orchestration infrastructure for materials projects. She moves fluidly between languages and contexts, from ML-driven computer vision work in medical analytics to scalable data curation and automation for research teams. Based in Maryland and currently at the Johns Hopkins Data Science and AI Institute, Maggie is as comfortable designing reproducible pipelines as she is mentoring scientists on data-driven methods. An uncommon thread in her career is translating deep physics expertise into production-ready software that accelerates discovery across disciplines.
11 years of coding experience
12 years of employment as a software developer
Johns Hopkins University
Bachelor of Science (BS) Physics (Minor in Chinese Studies), Bachelor of Science (BS) Physics (Minor in Chinese Studies) at Carnegie Mellon University
Chinese Language, Chinese Language at Shanghai International Studies University
Contributions:674 commits, 95 PRs, 583 pushes in 1 year 9 months
python-codepython
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Maggie Eminizer - Research Software Engineer at Johns Hopkins Data Science and AI Institute