Musa Ahmed
Lead, Data & Analytics - Computational Science
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMusa Ahmed is a Lead in Data & Analytics for Computational Science at Roche with a decade of experience applying computational biology to cancer genomics, epigenetics, and chromatin biology. He combines deep expertise in NGS, variant analysis, and multi-omics integration with hands-on leadership, having progressed from postdoctoral research on lncRNA epigenetics to leading analytics teams in industry. His PhD in Bioinformatics and Comparative Genomics underpins a strong quantitative approach to translational research and biomarker discovery. Musa is a pragmatic believer in big-data driven translational science and focuses on turning complex genomic signals into clinically actionable insights. He brings academic rigor from years at Princess Margaret and Brock University alongside product-focused execution at Roche, bridging research and deployment. Colleagues value his rare blend of wet-lab intuition and computational scale-up experience that accelerates cancer research pipelines.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Biochemistry and Molecular Biology, Master of Science (M.S.), Biochemistry and Molecular Biology at Dhaka BishwabidyalayaDoctor of Philosophy (Ph.D.), Bioinformatics and Comparative Genomics, Doctor of Philosophy (Ph.D.), Bioinformatics and Comparative Genomics at Brock University
English, French
Github Skills (5)
rna-seq8
region8
genomics7
bioinformatics7
tiling4
Programming languages (1)
Github contributions (5)
HansenHeLab/sgTiler
Dec 2016 - Feb 2021
An ultra-fast tool to design tiling sgRNAs for any genomic region
Contributions:1 release, 1 PR, 15 pushes in 4 years 2 months
regiongenomicsultratilingbioinformatics
HansenHeLab/VSE
Sep 2015 - Mar 2016
Contributions:63 commits, 58 pushes, 1 branch in 5 months
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