Sean Connolly
Senior Informatics Engineer
Kailua, Hawaii, United States
Summary
👤
Senior🎓
Top SchoolSean Connolly is a Senior Informatics Engineer with 12 years of experience building robust bioinformatics and lab informatics systems at Genentech, blending full-stack development with hands-on lab technique knowledge. He designs and optimizes biology-focused algorithms and user interfaces, with a strong emphasis on algorithm optimization and parallel processing. His background spans enterprise LIMS architecture, Spring/MongoDB/Redis stacks, and custom bio/cheminformatics tooling developed earlier at Roche, showing deep domain fluency. Sean holds a BSc in Bioinformatics and an MS in Computer Vision, a combination that fuels his interest in computational methods and efficient implementations. An open-source contributor, he has improved maintainability of high-profile projects like the Numenta HTM Java port, demonstrating a focus on code quality and scalable back-end engineering. Based in Kailua, Hawaii, he brings pragmatic engineering rigor to rapidly changing scientific environments.
12 years of coding experience
4 years of employment as a software developer
MS, Computer Vision, MS, Computer Vision at Universitat Autònoma de BarcelonaBS, Bioinformatics, BS, Bioinformatics at Rochester Institute of Technology
English, Spanish
Github Skills (8)
javas10
slf4j10
java10
refactoring9
encode8
algorithm8
encoder8
encoding8
Programming languages (5)
Github contributions (5)
numenta/htm.java
Feb 2015 - Feb 2015
Hierarchical Temporal Memory implementation in Java - an official Community-Driven Java port of the Numenta Platform for Intelligent Computing (NuPIC).
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 5 PRs, 49 comments in 3 days
Contributions summary:Sean primarily focused on refactoring and improving the codebase. Their work involved replacing older logging verbosity levels with SLF4J trace statements across multiple files, including core encoder classes like `LogEncoder`, `ScalarEncoder`, `SDRCategoryEncoder`, `CategoryEncoder`, and `RandomDistributedScalarEncoder`. This indicates a focus on code quality and maintainability within the HTM implementation. The commit also included adjustments to the `AdaptiveScalarEncoder`.
memoryhierarchicalnumentatemporalhierarchical-temporal-memory
connollyst/zkgooglecharts
Jan 2015 - May 2016
Contributions:13 releases, 97 commits, 3 PRs in 1 year 4 months
googlechartsgoogle-charts
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