Maggie Eminizer
Research Software Engineer at Johns Hopkins Data Science and AI Institute
Cockeysville, Maryland, United States
Summary
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Senior🎓
Top SchoolMaggie 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 UniversityBachelor of Science (BS) Physics (Minor in Chinese Studies), Bachelor of Science (BS) Physics (Minor in Chinese Studies) at Carnegie Mellon UniversityChinese Language, Chinese Language at Shanghai International Studies University
English
Github Skills (15)
data-streaming9
python9
apache-kafka9
python-client8
journal7
open-access6
creative-commons6
confluent6
kafka-python6
academia5
librdkafka4
kafka1
multipass1
json-schema1
encryption1
Programming languages (6)
Github contributions (5)
eminizer/pixel_templates
Aug 2016 - Oct 2019
Contributions:1 PR, 42 pushes, 3 branches in 3 years 2 months
sqlitesqlpixel
openmsi/openmsipython
Feb 2021 - Oct 2022
Python code used in OpenMSI applications
Contributions:674 commits, 95 PRs, 583 pushes in 1 year 9 months
python
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