The Mezey lab is a computational genomics group focused on understanding the genetics, development, and evolution of complex phenotypes. Our studies span a broad range of phenotypes and organisms, from disease and other human characteristics, to physiological aspects of model organisms.

Our research is primarily computational, involving the development and application of techniques that fall within the disciplines of computational statistics and machine learning, but we also complement these efforts with our own experimental research. Current projects include development of methods for multiple locus genome-wide association (GWA) analysis when simultaneously analyzing millions of genetic markers, graphical modeling approaches for biological network discovery, computational methods aimed at applying next generation sequence data to problems in medical genomics, and quantitative analysis of important developmental pathways in Drosophila. Please see our “Research” pages for more information.

We have a dual appointment in the Department of Biological Statistics and Computational Biology at Cornell, Ithaca and in the Department of Genetic Medicine at Weill Cornell Medical College, New York City. Our group includes members at both locations, working on complimentary problems in computational biology and medical genomics. We are currently growing in both locations and we encourage you to look at the “Positions” page if you might be interested in joining us.