Aziz Khan is an Assistant Professor of Computational Biology at MBZUAI and a computational biologist with roughly 10 years of experience focused on gene regulation, cancer genomics, epigenomics and chromatin dynamics. He combines a PhD in Bioinformatics from Tsinghua with research appointments at the University of Oslo and Stanford, applying machine learning and regulatory genomics to dissect tumor initiation and growth. Early-career work as a software engineer and web developer (building Python/Django platforms and network-analysis tools) gives him practical fluency in turning complex genomic questions into scalable computational pipelines. He also brings formal training in management and project management and even built a Financial Capability Index and education library in a prior consulting role, reflecting a rare mix of technical depth, software craftsmanship, and applied program design.
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