Chenxin Li is an Assistant Professor and plant molecular biologist with seven years of experience combining wet-lab biochemistry and molecular biology with advanced computational approaches in epigenomics and single-cell genomics. He leads a hybrid lab at Michigan State University that emphasizes statistical computing and data visualization—skills he showcases through R-based open-source work like visual design utilities in his GitHub repository. Chenxin’s research spans regulation and engineering of plant natural products and synthetic biology in non-model plants, informed by a PhD in Botany/Plant Biology from UC Davis. He mentors students, secures funding, and teaches while publishing on single-cell (epi)genomics; an unusual strength is translating complex genomic data into clear visual narratives for hypothesis-driven discovery.
7 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Botany/Plant Biology, Doctor of Philosophy (Ph.D.), Botany/Plant Biology at University of California, Davis
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Role in this project:
Data Scientist
Contributions:7 releases, 69 commits, 82 pushes in 7 months
Contributions summary:Chenxin primarily focused on creating data visualizations using R. They implemented functions to generate broken axes and abstract art visualizations. The user utilized the `tidyverse`, `patchwork`, and `RColorBrewer` libraries for data manipulation, plotting, and color schemes. They also made minor edits to output sizes and incorporated `viridis` and `rcartocolor` for generating heatmaps and plots.
Contributions:4 releases, 128 commits, 2 PRs in 2 years 9 months
r-packagelearning-projectrstatsrstatistics
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