Mary Makarious
Biomedical Data Scientist
Bethesda, Maryland, United States
Summary
👤
Senior🎓
Top SchoolMary Makarious is an Egyptian-American biomedical data scientist with a decade of experience applying genomics, machine learning, and cloud-enabled pipelines to neurodegenerative disease research. She holds a PhD from UCL/NIH for work that developed scalable, multi-omic analysis workflows and uncovered genetic risk factors for Parkinson’s disease in diverse populations. At NIH and Data Tecnica she built GenoML and reproducible Terra pipelines, led large WGS analyses, and now consults on genomics for neurodegeneration while co-leading open-science data dissemination for GP2. She combines hands-on engineering of open-source tools with mentorship and operational leadership—running hackathons, training programs, and regular data releases—to make complex genomics accessible and inclusive. Fluent in Arabic and experienced in clinical settings, she brings a rare mix of computational rigor, translational perspective, and community-focused advocacy.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Bioinformatics, Neuroscience, and Biology, Bachelor of Science (BS), Bioinformatics, Neuroscience, and Biology at Loyola University ChicagoUniversity College London
Arabic, English
Github Skills (46)
genetics10
genomics10
vcf-files9
bioinformatics9
prediction9
espn8
meta-analysis8
gwas8
plink8
next-generation-sequencing7
variants7
case-control7
hypothesis-testing7
statistics7
machine-learning7
Programming languages (6)
Github contributions (5)
GP2code/releases
Apr 2022 - Dec 2024
Code from various GP2 releases in perpetuity.
Contributions:1 PR, 7 pushes in 2 years 8 months
GenoML/genoml2
Aug 2020 - Mar 2021
GenoML (genoml2) is an open source Python package. It is an automated machine learning (autoML) platform for genomics data
Contributions:21 releases, 1 review, 70 commits in 7 months
pythongeneticsautomated-machinegenomics-dataautomated-machine-learning
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