AI-ready methods and open resources
How can genomic knowledge be made usable by both researchers and AI? We develop interpretable AI methods and open resources that people and AI systems can use and build on.
Computational Biology & Cancer Regulatory Genomics Lab
We combine multi-omics, machine learning and complete T2T and pangenome references to understand gene regulation in development and disease, and we build open, FAIR and AI-ready tools and resources for everyone.
How can genomic knowledge be made usable by both researchers and AI? We develop interpretable AI methods and open resources that people and AI systems can use and build on.
How does gene regulation differ across human genomes? We use complete and diverse genome references to study regulation as it varies between individuals and populations.
Which mutations change gene regulation in cancer, and how? We identify the regulatory changes that matter and use them to inform cancer detection and precision medicine.
CBCRG has received an award through Anthropic’s AI for Science Program. More
Aziz gave an invited talk, “Decoding gene regulation and tracing how colorectal cancer begins,” at NYU Abu Dhabi on 6 October 2026. More
Welcome to Anil, who joins the group from EBI in the UK as a research scientist. More
Lab members in bold.
Debra Van Egeren, Ryan O. Schenck, Aziz Khan, Aaron M. Horning, Shanlan Mo, Clemens L. Weiß, Edward D. Esplin, Winston R. Becker, Si Wu, Casey Hanson, Nasim Barapour, Lihua Jiang, Kévin Contrepois, Hayan Lee, Stephanie A. Nevins, Tuhin K. Guha, Hao Zhang, Zhen He, Zhicheng Ma, Emma Monte, Thomas V. Karathanos, Rozelle Laquindanum, Meredith A. Mills, Hassan Chaib, Roxanne Chiu, Ruiqi Jian, Joanne Chan, Mathew Ellenberger, Bahareh Bahmani, Basil Michael, Annika K. Weimer, D. Glen Esplin, Samuel Lancaster, Jeanne Shen, Uri Ladabaum, Teri A. Longacre, Anshul Kundaje, William J. Greenleaf, Zheng Hu, James M. Ford, Michael P. Snyder, Christina Curtis
Kathleen E. Houlahan, Aziz Khan, Noah F. Greenwald, Cristina Sotomayor Vivas, Robert B. West, Michael Angelo, Christina Curtis
Sarvenaz Sarabipour, Aziz Khan, Yu Fen Samantha Seah, Aneth D. Mwakilili, Fiona N. Mumoki, Pablo J. Sáez, Benjamin Schwessinger, Humberto J. Debat, Tomislav Mestrovic
software
A tool for intersection and visualization of multiple gene or genomic region sets
database
The open and high-quality transcription factor binding profile database
database
The first integrated and interactive database of super-enhancers
Aziz KhanPrincipal Investigator
Akshat MistryResearch Engineer
Anil ThankiResearch Scientist
Shinya YoshidaRotating PhD StudentYMYusuf MaulanaRotating PhD Student
Zaina AlhemeiriPhD Student
Meer Asif AliRotating PhD Student
Aruzhan ZhamalbekMS Student
Jenna KhanfarMS Student
Khalifa JumaMS Student
Lina UtenovaMS Student
Mohiraa ShafreenRotating MS StudentMBMuhammed BahRotating MS Student“Science and everyday life cannot and should not be separated.”
Work with us
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.

