computational genomics & biomedical data science
We develop and apply
computational data-driven approaches
to unravel how our genome
relates to health and disease.
 To gain more nuanced insights into the molecular mechanisms underlying health and disease.
 To use these insights to link an individual's genomic profiles to a precise assessment of their clinical traits, risks, and outcomes.
Big data collections contain valuable signals that can help fill critical gaps in our biomedical knowledge. We use statistics & machine learning to mine these data and build predictive models. These models then help us link genes & cellular mechanisms to various aspects of health & disease. Find out more about our research.