Austin Hartman is a computational biologist and PhD student in the San Francisco Bay Area with a decade of experience at the intersection of software engineering and single-cell genomics. He’s contributed full-stack code to the widely used Seurat R toolkit—adding load functions and spatial analysis features—bridging data-processing logic with visualization improvements. His background includes roles at the New York Genome Center and 10x Genomics where he focused on production-grade computational biology tools and test engineering. Comfortable moving between research and engineering, he combines rigorous academic training with practical experience shipping reproducible bioinformatics software. An often-overlooked strength is his attention to documentation and plotting ergonomics, which improves usability for downstream scientists.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Santa Clara University
Contributions:1 release, 7 reviews, 70 commits in 1 year 5 months
Contributions summary:Austin primarily contributed to the development and maintenance of the Seurat R toolkit for single-cell genomics. Their work involved fixing typos and updating plotting function documentation within the R code. They also added new functionality by implementing load functions and incorporating features related to spatial data analysis and visualization. Furthermore, the user modified the code related to processing different spatial datasets by implementing a new functionality to analyze spatial datasets.
Contributions:1 review, 3 PRs, 18 pushes in 1 year 3 months
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Austin Hartman - PHD Student at Stanford University