Soo Lee is a Staff Scientist and computational biologist with 11+ years blending biochemistry and multiomics to solve challenging problems in single-cell and spatial genomics. Trained with a Ph.D. from Johns Hopkins and first-author work in Cell and Nature Reviews, she translates deep biochemical insight into robust bioinformatics for cancer and spatial biology. At 10x Genomics she led platform and analysis efforts for Xenium and co-authored platform work in Nature Communications, later contributing documentation to the widely used GATK project. Recent hackathon wins and open notebooks demonstrate hands-on Python expertise in spatial protein and imaging mass cytometry, and a practical knack for optimizing cell segmentation workflows. Based in Greater Boston, she moves fluidly between product-focused engineering roles, startup R&D, and academic research, often surfacing simple experimental or pipeline fixes that unlock new discovery. Her uncommon combination of wet-lab intuition and production-grade tooling helps teams ship interpretable, reproducible genomics solutions.
11 years of coding experience
7 years of employment as a software developer
PhD Biochemistry Cellular & Molecular Biology Program Department of Biological Chemistry, PhD Biochemistry Cellular & Molecular Biology Program Department of Biological Chemistry at The Johns Hopkins University School of Medicine
Biology of Parasitism, Biology of Parasitism at Marine Biological Laboratories
B.S. in Biochemistry with Honors minor in Chemistry, B.S. in Biochemistry with Honors minor in Chemistry at University of Iowa
Official code repository for GATK versions 4 and up
Role in this project:
Technical Writer
Contributions:17 commits, 52 PRs, 131 pushes in 1 year 9 months
Contributions summary:Soo primarily contributed to the documentation of the GATK project. Their commits involved adding and expanding documentation for various tools, including Mutect2, PrintReads, and CalculateGenotypePosteriors. They also made improvements to the example commands and descriptions of existing tools. The user's work ensured clear and comprehensive documentation for the GATK project.
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