Aziz Khan is an assistant professor of computational biology with 11 years of experience at the intersection of regulatory genomics, epigenomics, and cancer biology, currently leading the Computational Biology and Cancer Regulatory Genomics Lab at MBZUAI. He combines rigorous academic training (PhD in Bioinformatics from Tsinghua) with hands-on research roles at Stanford and the University of Oslo, developing methods to probe chromatin dynamics and tumor initiation. Aziz brings a strong computational and software background—rooted in earlier roles as a software engineer and web developer—enabling him to apply machine learning and scalable analysis pipelines to complex genomic data. He also designs and teaches courses (Stanford Biosciences mini-course), signaling a talent for translating technical research into accessible training. Based in Abu Dhabi, he pairs global research experience with practical tool-building, maintaining an active lab website and a focus on reproducible, programmable genomics workflows.
11 years of coding experience
11 years of employment as a software developer
PhD, Bioinformatics, PhD, Bioinformatics at Tsinghua University
MSc, Information Technology, MSc, Information Technology at Quaid-i-Azam University, Islamabad
MS, Computer Science, MS, Computer Science at National University of Computer and Emerging Sciences
Bachelor of Science - BSc, Mathematics and Physics, Bachelor of Science - BSc, Mathematics and Physics at Forman Christian College (A Chartered University)
Master of Science in Management and Leadership - MSML, Master of Science in Management and Leadership - MSML at Western Governors University
Graduate Course in Project Management, A, Graduate Course in Project Management, A at Harvard Extension School
Contributions:44 commits, 3 PRs, 39 pushes in 1 year
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Aziz Khan - Assistant Professor Of Computational Biology