Jason Pell is a Senior Software Engineer with a PhD in Computer Science and 16 years of experience building low-latency, high-throughput systems across high-frequency trading (IMC), Big Tech (Google, AWS), and applied bioinformatics. He specializes in distributed architecture and quantitative development, with a proven record of architecting trading platforms and cloud infrastructure and leading cross-functional teams from research to production. His open-source contributions to khmer reveal hands-on expertise in core bioinformatics algorithms and C++ systems for k-mer counting and graph traversal—an unusual blend of quantitative finance and computational biology. Now based in New York and recently joining Waymo, he brings both academic rigor and production-grade engineering to complex, data-intensive problems.
15 years of coding experience
16 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Grand Valley State University
Doctor of Philosophy (PhD), Computer Science & Quantitative Biology, Doctor of Philosophy (PhD), Computer Science & Quantitative Biology at Michigan State University
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Role in this project:
Back-end Developer
Contributions:79 commits in 2 years 8 months
Contributions summary:Jason primarily contributed to the `khmer` project, which focuses on k-mer counting and related bioinformatics tasks. Their commits demonstrate development of core functionality, including new methods and modifications to existing ones within the C++ codebase. The user also appears to be adding support for different data formats (like fastq). Their work primarily involved implementing core data structures, algorithm improvements, and interface development.
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