Isaac Shanley is a software engineer with nine years of experience building full-stack web applications and shipping software across the entire development lifecycle. He has commercial experience at AWS and currently at Doowii, bringing production-grade engineering discipline from large-scale cloud services to smaller product teams. Isaac contributes to open-source genomic visualization through meaningful work on igv.js, adding variant visualization and data integration features that surface complex biological signals like STRs and SNP function-based coloring. He combines frontend and backend expertise with a strong academic foundation (BS/MS in Computer Science from UC San Diego) and practical internships spanning search, healthcare, and finance. Based in Santa Fe, he blends systems-level thinking with user-facing polish, often focusing on clear data display and robust authorization fixes. Colleagues describe him as a pragmatic problem-solver who thrives on turning complex datasets into intuitive visual tools.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California San Diego
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of California, San Diego
Embeddable genomic visualization component based on the Integrative Genomics Viewer
Role in this project:
Full-stack Developer
Contributions:11 commits, 13 PRs, 29 pushes in 8 months
Contributions summary:Isaac primarily contributed to the development of the igv.js library, focusing on features related to genomic visualization and data display. They implemented bug fixes related to authorization and heterozygosity, and enhanced the display of variant data, including STR (Short Tandem Repeat) variant visualization. The user also worked on integrating UCSC service readers and creating a feature track specifically for displaying SNP data, incorporating color-coding based on function and class.
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