M Aster
Principal Software Engineer at Broad Institute of MIT and Harvard
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolM Aster is a Principal Software Engineer based in Greater Boston with seven years of experience translating complex scientific problems into production software at the Broad Institute. With a PhD in Neuroscience from the University of Pennsylvania and prior academic roles, they blend deep domain expertise in neural systems and biophysics with practical engineering—building large-scale simulations, surgical monitoring tools, and data-cleaning ML pipelines. At Broad they progressed from field engineer to principal engineer, shipping reliable systems that bridge research and operational needs. Comfortable across Python, ML tooling, and data engineering, they have a track record of turning noisy, imbalanced biosignals into actionable datasets for downstream analysis. Colleagues rely on them to translate theoretical models into maintainable code and to mentor cross-disciplinary teams. An unlisted but telling strength is their history of rapid prototyping under tight timelines, delivering production-ready analyses within weeks.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (BA) Psychology (Behavioral Neuroscience), Bachelor of Arts (BA) Psychology (Behavioral Neuroscience) at Yale UniversityDoctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at University of Pennsylvania
Github Skills (56)
spark-ml10
apache-spark10
spark10
genome10
reproducible-science10
terra10
gatk10
pipeline10
sequencing10
bioinformatics10
genomics10
wdl10
science10
python-bindings9
user-interface7
Programming languages (10)
Github contributions (5)
DataBiosphere/terra-scientific-pipelines-service
Oct 2022 - Mar 2025
Contributions:524 reviews, 205 PRs, 640 pushes in 2 years 5 months
broadinstitute/dsp-reusable-workflows
Apr 2024 - Mar 2025
publicly available reusable workflows
Contributions:32 reviews, 39 PRs, 109 pushes in 11 months
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