معرفی
Bingjie Li is an SRUC Challenge Research Fellow at Scotland's Rural College (SRUC), affiliated with the Integrative Animal Sciences Food Security Challenge Centre and the Department of Animal and Veterinary Sciences. His research focuses on quantitative genetics, animal breeding, and computational biology, particularly in managing omics data (phenomics, genomics, transcriptomics) to improve livestock genetics. He leads international projects and collaborates with industry partners to advance dairy cattle genetics and animal health.
Education:
- PhD in Quantitative Genetics and Animal Breeding (2013–2018), Aarhus University and Swedish University of Agricultural Sciences
- MSc in Quantitative Genetics and Animal Breeding (2011–2013), AgroParisTech and Norwegian University of Life Sciences
- BSc in Veterinary Medicine and Computer Science (2007–2011), Southwest University
Research Interests: Bingjie’s work integrates computational methods with genetic analysis to address challenges in livestock production. Key areas include genomic prediction of feed efficiency, genetic evaluation of dairy cattle traits, and understanding the genetic basis of complex traits like methane emissions and lameness resistance. His projects often involve multi-omics data integration and transcriptome analysis to enhance breeding strategies.
Recent Contributions: His recent publications explore the genetic regulation of gene expression in poultry, rumen microbiome interactions affecting methane emissions, and the genetic architecture of claw horn lesions in cattle. He also contributes to tools like the FarmGTEx TWAS-server for transcriptome-wide association studies.
Grants & Projects:
- PI of projects on genomics/transcriptomics for feed efficiency and dairy cow phenotypes
- Co-Investigator in studies on host-pathogen interactions in digital dermatitis
- Lead on the FarmGTEx project to create multi-tissue gene expression atlases
Labs/Teams: Collaborates with interdisciplinary teams at SRUC’s Roslin Institute and global institutions, advancing precision breeding and sustainable livestock practices through genomic innovation.
