Dr Seema Yadav

Postdoctoral Research Fellow, AI fo

Centre for Animal Science
Queensland Alliance for Agriculture and Food Innovation


Seema Yadav is Postdoctoral Fellow with Centre for Animal Science at Queensland Alliance for Agriculture and Food Innovation. Her Ph.D. project was focused on implementing genomic selection to accelerate genetic gains in Australian sugarcane breeding programs. Before joining the UQ, she was working as an international consultant with the Quantitative Genetics cluster at the International rice research institute, Philippines. She has double master's degrees in Mathematics and Statistics. Her research interests include developing novel genomic prediction methods, specifically their ability to capture G x E interaction effects. She had deep interest in machine learning models and optimization techniques within this domain.

Research Interests

  • Genomic prediction
  • Machine learning models
  • Operational research
  • Quantitative genetics


  • Doctor of Philosophy of Quantitative Genetics, The University of Queensland


View all Publications


Journal Article

Other Outputs

  • Yadav, Seema (2023). Optimising genomic selection for sugarcane. PhD Thesis, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland. doi: 10.14264/6d283df