Technological advances have continued to drive the study of biology towards the statistical and computational sciences. We are now able to differentiate and quantify biomolecules at levels previously unimaginable, allowing us to study their interactions and relationships to health and disease in an unbiased, systems-level manner.
The Inouye Lab aims to alleviate the burden of disease using its interdisciplinary strengths in the statistical, computational and biological sciences to leverage the latest genomic and multi-modal technologies.
We focus on research questions in cardiovascular and respiratory disease but maintain broad interests, including:
- design, application and cataloging of polygenic scores (e.g. coronary artery disease, or PGS Catalog)
- methods and applications for integrative analysis of genomic and systems-level biomolecular data (e.g. OmicsPred, or GlycA)
- host interactions of microbiota/pathogens and their role in disease (e.g. asthma)
- sustainable computational research (e.g. Green Algorithms Project)
We operate in an extremely fast-moving research environment. For a better snapshot of the current depth and breadth of projects, please see our publications and preprints. https://www.inouyelab.org/home/publications
