Summary
Mohamood Adhil is a Lead Data Scientist with nine years’ experience applying computational biology, multi-omics integration, and AI to accelerate therapeutic target discovery from large-scale genomics and GWAS datasets. Based in Cambridge, he builds end-to-end discovery pipelines that combine 3D genomics, epigenetics, gene expression and PRS/Mendelian randomization to pinpoint cell-type-specific disease drivers and validate causal genes. He has driven translational projects that moved IBD targets toward preclinical validation and created a proprietary multi-omics immune cell atlas to streamline target nomination for autoimmune disease. Equally comfortable with wet-lab collaboration and cloud-native pipeline engineering, he authors Nextflow workflows and containerized solutions to scale reproducible NGS analysis. Notably, he pairs deep domain expertise in chromatin architecture and variant-to-gene mapping with practical product-building experience from clinical omics platforms, turning complex biology into actionable drug-discovery intelligence.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at IFOM
Master’s Degree, Life Science Informatics, Master’s Degree, Life Science Informatics at The University of Bonn
Engineer’s Degree, Biotechnology, Engineer’s Degree, Biotechnology at Anna University Chennai
English, Tamil