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 (42)
genetics10
genomics10
vcf-files9
meta-analysis9
prediction8
python8
automated-machine-learning8
gwas8
plink8
automl8
next-generation-sequencing8
variants7
ancestry7
ml7
open-source7
Programming languages (7)
Github contributions (5)
GenoML/genoml
Aug 2019 - Jul 2020
Core pipeline of GenoML
Contributions:83 commits, 3 PRs, 94 pushes in 11 months
pipeline-frameworkmachine-learningpipeline
GP2code/CNV-Finder
Nov 2024 - Mar 2026
Expedite large-scale identification of CNVs within predefined genomic regions. Online app available for those with GP2 Tier 2 Access.
Contributions:2 releases, 2 reviews, 3 PRs in 1 year 4 months
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