Morteza Saber is a research scientist and principal bioinformatics specialist in Montreal with nine years of hands-on experience applying machine learning, population genomics, and big-data analytics to decipher genomic determinants of bacterial traits, particularly antibiotic resistance. Trained across institutions in Iran, Japan and Canada, including a PhD in Bioinformatics and Computational Biology from The University of Tokyo, he blends computational rigor with experimental insight. His work focuses on predictive models for resistance in pathogens and evolutionary-genomics approaches that scale to large microbial datasets. Beyond typical bioinformatics workflows, he leverages population-genomic frameworks to reveal subtle, non-obvious allele patterns that drive phenotypic variation. Colleagues know him for turning complex genomic signals into actionable predictions that inform surveillance and therapeutic strategies.
8 years of coding experience
PhD student, Molecular Genetics, PhD student, Molecular Genetics at Tarbiat Modares University
University of Tokyo
Bachelor of Science (BSc), Cell/Cellular and Molecular Biology, Bachelor of Science (BSc), Cell/Cellular and Molecular Biology at University of Isfahan
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