Computational Biology & Cancer Regulatory Genomics Lab @ MBZUAI

We develop and utilize cutting-edge open-source tools, methods, and resources to analyze, integrate, and interpret large-scale diverse multi-omics cancer data; and to understand gene regulation and decipher the role of the non-coding regulatory genome to advance precision medicine.

Our vision and mission

Science and everyday life cannot and should not be separated.” — Rosalind Franklin
We bridge biology, multi-omics, AI, and data science

We bridge biology, multi-omics, AI, and data science

Our research bridges biology, multi-omics, machine learning, and data science to understand how gene regulation shapes health and diseases like cancer. We aim to advance precision medicine through innovative, collaborative research — using diverse multi-omic datasets and more complete, inclusive reference genomes.

Open science and reproducibility is our foundation

Open science and reproducibility is our foundation

We strongly believe in global access to open and reproducible science. Our tools, software, and resources are openly licensed and freely available for all to use and build upon. By fostering a culture of collaboration and transparency, we aim to accelerate scientific discovery and innovation that benefit all.

Training the next generation of scientists

Training the next generation of scientists

We are training and building a collaborative team of responsible researchers united by a shared vision. We are committed to create an inclusive environment and recognize that diversity — in people, ideas, and data — is essential for scientific creativity and discovery.

Lab latest news

New preprint September 12, 2025
Polyclonal origins of human premalignant colorectal lesions, bioRχiv. doi: 10.1101/2025.09.08.674484 More...
Associate Editor at NAR Genomics and Bioinformatics August 21, 2025
Excited to announce that Aziz has joined the Editorial Board of Oxford University Press’s NAR Genomics and Bioinformatics journal as an Associate Editor. More...
Keynote talk at X-meeting Brazil June 05, 2025
Aziz delivered a keynote talk on Open Tools and Frameworks for Scalable and Reproducible Genomics at the X-meeting Brazil 2025 in João Pessoa. More...