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 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 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.
- July 1, 2024
Affiliation with Yale Computer Science
Hoon received a secondary appointment in the CS department at Yale.
- May 9, 2024
Joining the Yale Institute for Foundations of Data Science
Hoon became a member of the Yale Institute for Foundations of Data Science (FDS), a hub for interdisciplinary research on mathematical, algorithmic, and statistical foundations of data science.
- May 2, 2024
Best Student Paper Award at RECOMB 2024
Our paper on secure detection of genetic relatives, led by Matt Hong at MIT, won the Best Student Paper Award at RECOMB 2024. Congratulations to Matt!
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.