Yuanhang Liu is a Principal Bioinformatician and Assistant Professor of Biomedical Informatics at Mayo Clinic with 11+ years of experience applying statistical modeling, machine learning, and computational algorithms to genomics, epigenetics, and cancer biology. He has deep hands-on expertise in NGS workflows and data integration across DNA methylation, copy-number/structural variation, ChIP-seq, RNA-seq (including scRNA-seq, CITE-seq) and spatial transcriptomics. Comfortable across R, Python and Matlab, he builds interactive visualizations and web tools (RShiny) and designs reproducible pipelines for HPC and cloud environments. His work blends Bayesian and classical inference with practical software engineering—mentoring junior bioinformaticians while translating complex omics datasets into clinically relevant insights. Based in Rochester, MN, he bridges academic research and applied healthcare analytics, often tackling real-world pharmacogenomics and translational questions that require both algorithmic rigor and biological intuition.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Biotechnology, Bachelor of Science (B.S.) Biotechnology at Nankai University
Bioinformatics Computational Biology Bioinformatics, Bioinformatics Computational Biology Bioinformatics at UT Health San Antonio
Explainable Drug Sensitivity Prediction through Cancer Pathway Enrichment Scores
Contributions:2 reviews, 88 pushes, 1 branch in 10 months
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