A Computational Biology Group
at Yale School of Medicine
in the Section of Biomedical Informatics and 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 AREAS
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?
NEWS AND HIGHLIGHTS
- October 28, 2023
iDASH Workshop 2023
As part of a collaborative team comprising members from the Broad Institute, MIT, Tune Insight, and Yale, we participated in the iDASH Secure Genome Analysis Competition and won 2nd place in Track 1: Secure Relative Detection.
- September 3, 2023
Lab Website
The new website for our group is now live! Through this website, we will share our latest news, publications, job openings, and more.
- September 1, 2023
A New Beginning
After moving from the Broad Institute to Yale, our lab is now back in business! We are located on the 9th floor of 100 College Street in New Haven, CT.
CONTACT US
Feel free to contact us regarding potential collaborations or job opportunities!