Research interests
- Animal breeding and quantitative genetics
- Genomic selection and genotype imputation
- Pedigree analysis and inbreeding
- Breeding data QC and decision-support tools
Huangyi Tang
Purdue University
Huangyi Tang
PhD candidate · Animal breeding & quantitative genetics
I develop methods and software for breeding data quality control and genetic evaluation, with a focus on practical R/Shiny tools for phenotypes, pedigrees, genotypes, and BLUPF90 workflows.
Education
- Purdue University PhD candidate · Animal breeding / quantitative genetics
- China Agricultural University M.S. · Animal Husbandry and Agriculture, 2022–2024
- Zhongkai University of Agriculture and Engineering B.S. · Animal Science, 2018–2022
Selected projects
Browse software →- easybreedeR
Integrated Shiny suite for breeding data QC and preparation.
- Xmosome_blupf90kit
Interactive renumf90 / BLUPF90 parameter-card builder.
- pedivieweR
Pedigree viewing and network analysis in Shiny.
- dataprevieweR
Fast phenotype preview and tabular quality checks.