Evan Boyle
Senior Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolEvan Boyle is a Staff Data Scientist in the San Francisco Bay Area with 12+ years of experience at the intersection of sequencing technology, machine learning, and human genetics. He has progressed from hands-on assay and algorithm development in academic labs to leading proteomic and cfRNA biomarker analyses in industry, translating complex omics signals into clinically meaningful insights for neurodegeneration and oncology. Evan combines rigorous computational method development (Snakemake workflows, beta-binomial CLIP modeling, feature selection for small RNAs) with large-cohort analyses of UK Biobank and PPMI data, and has a track record of refining clinical endpoints and deconvolving therapeutic effects. A Helen Hay Whitney and NSF fellow with a PhD from Stanford, he also applies quantitative lenses to diversity in STEM and helps run community initiatives like the Diversity and Science Lecture series and Queer Science Society. Notably, he bridges wet-lab intuition and production-ready data science, making him adept at turning sequencing artifacts into robust biomarkers.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Microbiology & Biochemistry, Bachelor of Science - BS Microbiology & Biochemistry at University of WashingtonBellevue High SchoolDoctor of Philosophy - PhD Genetics, Doctor of Philosophy - PhD Genetics at Stanford University
Github Skills (7)
genomics4
python3
data-structures3
bioinformatics3
genomicranges3
pandas2
pythonic2
Programming languages (3)
Github contributions (5)
shendurelab/MIPGEN
Dec 2013 - Sep 2020
Contributions:26 commits, 8 pushes, 69 comments in 6 years 10 months
stopmip
YeoLab/skipper
Dec 2022 - Mar 2025
Skip the peaks and expose RNA-binding in CLIP data
Contributions:1 release, 49 pushes, 1 tag in 2 years 4 months
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