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


Biomedical Data Privacy

How can we share and analyze sensitive data with privacy, and better understand the risks of modern data sharing practices?

Single-Cell Genomics

How can we engineer scalable and integrative tools that offer new ways to explore the growing collection of single-cell omics data?

Network Biology

How can we harness the wealth of knowledge embedded in molecular interaction networks to empower biomedical research?



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