Dr. Qingzhou Zhang
Computational Systems Biologist
Harnessing the power of multi-omics, AI, and computational biology to decode the complexity of life. With 15+ years of research experience and publications in Nature Biotechnology, Cell Systems, and iScience, I am driven by a passion for uncovering biological insights from high-dimensional data. By integrating multi-omic technologies, machine learning, and systems biology, I seek to reveal the fundamental mechanisms of living systems and accelerate the next generation of biomedical discovery.
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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