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Research

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.

Research overview connecting deep learning, non-coding mutations, gene regulation, diverse genomes and open tools.

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.

Non-coding mutations and gene regulation in cancer

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.

Regulatory genomics beyond a single reference

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.