Liang Ding is a Bioinformatics Analyst III with nine years of experience applying computational methods to single-cell and spatial transcriptomics, currently based at Frederick National Laboratory for Cancer Research. He has led development of widely used tools like scMINER, NetBID, and SJARACNe to enable network inference, hidden-driver discovery, and multi-omics integration across diverse spatial platforms. Liang’s background combines a PhD in Computer Science with hands-on software engineering for clinical and research pipelines, bridging algorithm development, workflow infrastructure, and image-informed single-cell analysis. He has translated methods into actionable biological insights at St. Jude Children’s Research Hospital, contributing to therapeutic target discovery for pediatric cancers. An active manuscript reviewer for top journals, he brings both rigorous peer-review perspective and practical experience shipping scalable bioinformatics software. Colleagues rely on his rare blend of algorithmic depth and production-grade tooling to turn complex omics data into interpretable biology.
9 years of coding experience
16 years of employment as a software developer
University of Georgia
Bachelor of Science (B.S.) Applied Mathematics, Bachelor of Science (B.S.) Applied Mathematics at Zhengzhou University
Master Computer Science, Master Computer Science at The University of Texas-Pan American
Contributions:108 commits, 7 pushes, 2 branches in 1 year 1 month
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