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About

MuyuWorks is the professional platform of Muyu Gu.

Muyu works across experimental biology, scientific data analysis, and reproducible technical communication. He earned a PhD in Biological Sciences from South Dakota State University in 2025, following a master’s degree in Grass Science and a bachelor’s degree in Grassland Science from Northwest A&F University.

His doctoral research investigated physiological and genetic aspects of root hydrotropism in maize. The work connected controlled experiments with image- and video-based phenotyping, R-based statistical analysis, scientific visualization, and genome-wide association analysis. Comparative research artifacts also document work with common bean and additional plant species.

This research context is evidence for a broader working pattern: translating scientific questions into measurable data, selecting quantitative methods, documenting analytical decisions, producing interpretable figures, and stating limitations clearly. MuyuWorks is being developed as a public home for that scientific-computing work, selected research evidence, and small research-facing tools.

Capability profile

Scientific analysis

  • experimental and genetic data analysis in R;
  • statistical methods for biological research;
  • quantitative image and time-series measurements;
  • GWAS/QTL-oriented analysis within documented maize research.

Reproducible workflows

  • documented links between source data, methods, figures, and interpretation;
  • Quarto and Markdown technical publishing;
  • Git-based change review and controlled factual-source management;
  • explicit assumptions, evidence boundaries, and limitations.

Communication

  • English-language scientific writing and research documentation;
  • publication-oriented figures and research posters;
  • undergraduate biology laboratory teaching at South Dakota State University in documented terms from 2018 through 2024.

Working principles

  • evidence before claims;
  • reproducibility before convenience;
  • narrow useful tools before broad platforms;
  • clear limitations and maintainable delivery.

Review the CV or explore selected projects.