Jason Flannick, PhD

Computational approaches to use human genetic and broader genomic data to understand or better treat human diseases, with a current focus on diabetes.

The Flannick Lab develops computational approaches to use human genetic and broader genomic data to understand or better treat human diseases, with a current focus on diabetes. Our research lies at the intersection of computer science, statistical genetics, and computational biology. It includes the development of fundamental statistical methods and computational algorithms, large-scale exome sequence association analysis, and computational disease modeling. We are interested specifically in developing methods to quantify the phenotypic and molecular effects of coding mutations, so that they might be used to identify or prioritize novel therapeutic targets. We also have a commitment to make genetic data and tools more useful to communities who traditionally lack the means to access or interpret it.

A video of Dr Flannick’s lecture elucidating the contribution of computational biology to the understanding of disease is featured in the “Emerging Technologies” section of this site’s Research section.

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