A Computational Biology Group

at Yale School of Medicine

in the Department of Biomedical Informatics & Data Science

Harnessing biomedical data beyond computational boundaries

We create algorithmic solutions to tackle a variety of computational challenges introduced by the large-scale, heterogeneous, and private aspects of genomic and health-related data

RESEARCH THEMES

Privacy-Enhancing Technologies

How can we utilize sensitive biomedical data with privacy, and understand the risks of modern AI and data-sharing practices?

Scalable AI/ML in Genomics

How do we build scalable and integrative tools to explore and analyze the rapidly expanding landscape of omics data?

Structured Biological Modeling

How can we design mathematical and AI models that leverage the intrinsic structure of biological systems to drive scientific discovery?

NEWS AND HIGHLIGHTS

CONTACT US

Feel free to contact us regarding potential collaborations or job opportunities!
We welcome talented postdocs and students (both graduate and undergraduate) to join us.