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
- 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.
- February 24, 2025
Publication in Nature Genetics
Our latest work on secure federated genome-wide association studies (SF-GWAS) has been published in Nature Genetics.
- October 1, 2024
RECOMB Privacy & Equity 2025 in Seoul
Hoon will be co-chairing next year’s RECOMB Satellite Conference on Biomedical Privacy and Equity (RECOMB-P&E). Submission deadline is February 5th, 2025. Visit website for more information.
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.