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Cornell University

3CPG

Cornell Center for Comparative and Population Genomics

Jason Mezey

Research Interests:

The primary focus of my research group is developing computational statistics and machine learning methodology to answer questions about complex phenotypes. Among other contributions, our research has produced new methodology now applied to the analysis of Genome-Wide Association Study (GWAS) data, to identify expression Quantitative Trait Loci (eQTL), and for eQTL based network discovery. My group also collaborates extensively on the analysis of genomic and other big biological data types collected by scientists working on both basic and applied problems in medicine and beyond.