About
Qiuying Sha is a Professor in the Department of Mathematical Sciences at Michigan Technological University. She holds a PhD in Statistics from Michigan Tech (2005) and previously worked at Heilongjiang University from 1988 to 1999. Her research focuses on statistical genetics and computational genomics.
- PhD, Statistics - Michigan Technological University
- MS, Mathematics - Heilongjiang University, China
- BS, Mathematics - Heilongjiang University, China
Sha develops statistical methods for genome-wide association studies (GWAS), rare variant analysis, and genetic epidemiology. Her work includes adaptive weighting schemes, gene-gene interaction detection (MDR-SP), and multi-trait analysis frameworks applicable to both population-based and family-based designs.
Her publications (2010-2016) demonstrate expertise in computational methods for genetic association studies, with a particular emphasis on structured population analysis and quantitative trait modeling. Notable contributions include novel approaches for detecting rare variants and optimizing variant combinations in family-based GWAS.
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