We develop and use 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 highlights
We bridge biology, multi-omics, AI, and data science
Our research bridges computational biology, (epi)genomics, machine learning, and data science to understand gene regulation in diseases such as cancer. We publish high-impact research papers in leading journals across diverse topics from genomics, epigenomic, machine learning, cancer genomics, and science policy.
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.
Training the next generation of scientists
We are a dedicated team of responsible researchers who advance the frontier of computational cancer genomics. We strive to build an inclusive environment for research and recognize the value of diversity in the process of scientific creativity and discovery.
Lab latest news
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Talk at NYU Abu Dhabi Campus – February 25, 2025
Aziz was invited to speak at the Center for Genomics and Systems Biology, New York University Abu Dhabi (NYUAD) Biology Seminar Series. -
Talk at NUST Islamabad – February 17, 2025
Aziz was invited to speak at the School of Interdisciplinary Engineering & Science (SINES), NUST iTalks Seminar Series. -
Talk at LUMS Lahore – February 14, 2025
Aziz was invited to speak at the Syed Babar Ali School of Science and Engineering (SBASSE), LUMS Life Sciences Seminar Series.