Dylan Ross
Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDylan Ross is a data scientist with a decade of experience specializing in computational multi-omics, now based at Pacific Northwest National Laboratory after a multi-year postdoctoral trajectory at PNNL and the University of Washington. He combines deep domain knowledge in biochemistry with advanced data science methods to translate complex omics datasets into actionable biological insights. His work sits at the intersection of experimental chemistry and scalable computational analysis, reflecting a track record of bridging lab-based research and production-ready data workflows. Active on GitHub and indexed via ORCID, he brings a research-first mindset to enterprise science settings and a knack for making reproducible, publishable pipelines that support cross-disciplinary teams.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at University of Washington
Github Skills (5)
bioinformatics9
python8
ms-data6
spectra3
mass2
Programming languages (2)
Github contributions (5)
dylanhross/lipydomics
Feb 2019 - Aug 2021
Python package for performing lipidomics analyses
Contributions:4 releases, 215 commits, 65 PRs in 2 years 6 months
pythonanalyseslipidomicsbioinformaticspython-package
dylanhross/ccscal
May 2016 - May 2018
Contributions:29 commits, 6 PRs, 40 pushes in 2 years
ccsms-datapythonpython-package
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