Computational Biology ยท Open to Advisory

Dr. Qingzhou Zhang

Computational Systems Biologist & Bioinformatician

I design computational methods that extract biological signal from single-cell and spatial transcriptomics data, turning raw sequencing runs into mechanistic insight about how cells organize, communicate, and fail in disease.

Published in Nature Biotechnology, Cell Systems, and Nature Communications. Building open-source tools for the omics community since 2014.

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Dr. Qingzhou Zhang portrait
15+ Years in Computational Biology
11 Peer-Reviewed Publications
8 Open-Source Packages
4 Spatial Platforms Analyzed
Open-Access Resources

Omics with Johnson

An open collection of practical resources for bioinformatics, computational biology, and modern omics research. Explore tutorials, technical guides, reproducible workflows, and research-oriented discussions designed to connect computational methods with the biological questions they are meant to answer.

  • Learn practical approaches to genomics, transcriptomics, single-cell, spatial, and multi-omics analysis
  • Understand the statistical and biological reasoning behind computational methods
  • Explore reproducible workflows, research strategies, and emerging computational biology tools
Explore Online Resources
Applied Analysis

Case Studies

In-depth spatiotemporal, single-cell, and transcriptomic analyses.

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Open-Source Software

Open Source Tools

Bioconductor packages, PyPI libraries, and automated bioinformatics workflows.

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Selected Publications

Publications

Articles, perspectives, and reviews in leading peer-reviewed journals.

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