Summary
Mohammad Nilforooshan is a quantitative geneticist with eight years of experience building genetic and genomic evaluation models for livestock, currently advancing New Zealand’s dairy improvement programs at LIC. He combines deep expertise in matrix algebra and computational biology with a strong track record in dairy, sheep, and beef genetic evaluation stemming from research and faculty roles in Sweden, New Zealand, and the US. Holding a PhD in Quantitative Genetics, Mohammad has translated academic methods into operational evaluation pipelines and published widely on statistical genetics topics. Known for bridging theory and practice, he develops scalable solutions that improve breeding value estimation and genomic selection in large national populations.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Quantitative Genetics, Doctor of Philosophy (PhD), Quantitative Genetics at Swedish University of Agricultural Sciences
English, Persian