Dr Bingjie Li

Postdoctoral Research Scientist (SRUC based)

Image
Bingjie Li

My main research interests are to develop and apply statistical methods to investigate genetic differences in livestock population using genetic and genomic data, to develop new traits and maintain current achievements to facilitate sustainable and precise breeding, and to uncover the genetic background of complex traits through integrating diverse data sources (e.g., genomic, transcriptomic, epigenomic data). 

My Bachelor’s degrees were in Veterinary Medicine and in Computer Science, while my master, PhD and post-doc researches were in animal breeding and quantitative genetics. My education and work experience cover statistical modelling, parameter estimation, large-scale GWA and post-GWA analyses using diverse methods for complex traits of dairy cattle and sheep (e.g., production, health, feed efficiency, fertility, confirmation), genomic prediction (multi-step and single-step methods) applied to economically-important traits in dairy cattle genomic evaluation, and integrated studies for complex traits using genomic, transcriptomic, epigenomic data. Apart from research, I have been involved in teaching and training for master and PhD students, and in several industry meetings for animal breeding in Europe and in the United States.