Matthew P Conomos

PhD
Biostatistics
University of Washington
2014
BS
Applied Mathematics
University of Rochester
2008
BA
Statistics
University of Rochester
2008

I am a Biostatistician and Statistical Geneticist working as a member of the University of Washington Genetic Analysis Center (GAC). I graduated with my Ph.D. from the Biostatistics department at the University of Washington, following the Statistical Genetics track. My dissertation research focus was on developing statistical methods for inferring, estimating, and accounting for population and pedigree structure in genetic studies of admixed populations. In addition to developing novel statistical methods, I have experience in data analysis of large scale genomic and phenotypic data.

My current research focuses on improving genetic association testing for samples with over 100K individuals. Much of this work involves developing computationally efficient ways to work with mixed models on very large samples, which is made available through the R/Bioconductor package GENESIS.

In addition to my research, I am also heavily involved in the NIH/NHLBI Trans-Omics for Precision Medicine (TOPMed) project. The UW GAC serves as the Data Coordinating Center (DCC) for the project, and I am the Project Manager of the Analysis Support portion of our contract.

Senior Research Scientist
Faculty Research Interests
PhD
Biostatistics
University of Washington
2014
BS
Applied Mathematics
University of Rochester
2008
BA
Statistics
University of Rochester
2008

I am a Biostatistician and Statistical Geneticist working as a member of the University of Washington Genetic Analysis Center (GAC). I graduated with my Ph.D. from the Biostatistics department at the University of Washington, following the Statistical Genetics track. My dissertation research focus was on developing statistical methods for inferring, estimating, and accounting for population and pedigree structure in genetic studies of admixed populations. In addition to developing novel statistical methods, I have experience in data analysis of large scale genomic and phenotypic data.

My current research focuses on improving genetic association testing for samples with over 100K individuals. Much of this work involves developing computationally efficient ways to work with mixed models on very large samples, which is made available through the R/Bioconductor package GENESIS.

In addition to my research, I am also heavily involved in the NIH/NHLBI Trans-Omics for Precision Medicine (TOPMed) project. The UW GAC serves as the Data Coordinating Center (DCC) for the project, and I am the Project Manager of the Analysis Support portion of our contract.

Senior Research Scientist
Faculty Research Interests