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
- September 15, 2025
New PhD Program in Human Genome Sciences
Our lab is affiliated with Yale’s new Human Genome Sciences (HGS) track in the Biological & Biomedical Sciences PhD Program. Hoon serves as the inaugural Director of Graduate Admissions for HGS.
- August 25, 2025
NSF Grant for Confidential Genome Analytics
We received a new NSF grant to build tools using trusted execution environments (TEEs) and related technologies for secure genome imputation and analytics.
- April 9, 2025
New Home: 101 College
BIDS department and our lab moved to the 10th floor of the new 101 College St. building!
- March 14, 2025
Interview Article in YSM News
Interview with Hoon is featured in Yale School of Medicine news.
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.