معرفی
Matt Conomos is a Senior Research Scientist and Biostatistician at the University of Washington (UW) Department of Biostatistics, within the School of Public Health. He leads the Genetic Analysis Center (GAC) and serves as a Project Manager for major consortia including PRIMED, GREGoR, and the former TOPMed program Data Coordinating Center. His roles involve managing teams to develop statistical methods, data models, and cloud-based platforms like AnVIL and BioData Catalyst for large-scale genetic studies.
Education: Dr. Conomos holds a PhD in Biostatistics from UW (with a Statistical Genetics focus) and dual undergraduate degrees—BS in Applied Mathematics and BA in Statistics—from the University of Rochester.
Research Interests:
- Statistical and computational methods for analyzing complex genomic datasets
- Population genetics, including ancestry prediction and stratification correction
- Multi-ethnic genetic association studies to reduce health disparities
- Data management protocols for genomic consortia
Article Trends: His recent work focuses on ancestry-specific genetic variants, polygenic risk assessment in diverse populations, and telomere length regulation. Key themes include developing tools for genomic analysis (e.g., GENESIS, GMMAT) and addressing ethical challenges in genetic research reporting.
Awards:
- 2025 School of Public Health Excellence Award
Advising & Grants: As a Project Manager, he oversees grant-funded consortia projects, leading teams in data analysis and software development. He co-instructs the Summer Institute for Statistical Genetics (SISG), focusing on whole-genome sequencing modules using cloud platforms.
Labs/Teams: Core member of the UW Genetic Analysis Center (GAC), with collaborative roles in the PRIMED and GREGoR Consortia, and former contributions to the NHLBI TOPMed program.
