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
- May 29, 2026
RECOMB 2026 Best Paper Award
We received the Best Paper Award at RECOMB 2026 for our work on differentially private genome-wide association analysis.
- May 20, 2026
NIH Pangenomics Grant
We received a NIH U01 grant to develop scalable, privacy-preserving computational tools for pangenome research.
- April 21, 2026
William Hu Receives NSF GRFP Award
Our PhD student, William Hu, co-advised by Katerina Sotiraki, has received the NSF Graduate Research Fellowship. Congratulations to William on this achievement!
- September 15, 2025
New PhD Program in Human Genome Sciences
We’re affiliated with Yale’s new Human Genome Sciences (HGS) track in the Biological & Biomedical Sciences PhD Program. Hoon serves as the Director of Graduate Admissions for HGS.
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.