Dr. Qingzhou Zhang
Computational Systems Biologist
I build and lead computational research programs that turn high-dimensional omics data into biological discovery. My work spans multi-omics integration, single-cell systems biology, and the application of machine learning to decode the mechanisms of life.
With 15+ years of independent research and publications in Nature Biotechnology, Cell Systems, and iScience, I develop analytical frameworks and lead projects that ask fundamental biological questions — from regulatory logic in development to the systems-level rewiring of disease.
Omics
with Johnson 101
Omics with Johnson 101
A deep dive into the physical, mathematical, and statistical principles of bioinformatics. Learn to stop just running pipelines and start questioning assumptions, understanding exactly what the software does—and why.
Master physical/mathematical principles of sequencers & algorithms Learn to choose correct statistical models for biological overdispersion Design containerized, version-controlled computational workflows
Case Studies
In-depth analyses of omics data
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Projects
A selection of my work in bioinformatics and software
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Publications
Research articles and collaborations
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