Fangyi Wang

Fang2

Position Title
Graduate Student

Bio

Fang works in quantitative genetics, biostatistics, and computational biology. She is interested in using statistical modeling and computational simulation in strawberry breeding. Her research focuses on improving breeding strategies as well as genomic and phenomic prediction accuracy.

Google Scholar
ORCID

Publications

Fangyi Wang, Mitchell J Feldmann, Daniel E Runcie, Why usefulness is rarely useful, G3 Genes|Genomes|Genetics, Volume 15, Issue 3, March 2025, jkae296, https://doi.org/10.1093/g3journal/jkae296 

Wang, F., Feldmann, M. J., & Runcie, D. E. (2025). Do not benchmark phenomic prediction against genomic prediction accuracy. The Plant Phenome Journal, 8, e70029. https://doi.org/10.1002/ppj2.70029