Mathematical biology; optimization; numerical analysis; inverse problems; statistics and scientific computing; methodology development for mathematical modeling and simulation of metabolic and genetic networks; data analysis including microarray and quantitative trait loci.
Rachael Hageman Blair, PhD, joined the department of Biostatistics in the Fall of 2011. She graduated from Case Western Reserve University in 2007 with a PhD in mathematics. Her graduate work focused on the development of integrated numerical and statistical methods for mathematical models of metabolic systems. Blair's postdoctoral training was in statistical genetics at the Jackson Laboratory. The focus of her research was related to genotype-phenotype inference with applications to complex traits in mouse genetics. Her primary research interests connect to network analysis and the application to biological and social systems. Applications of interest concern high-dimensional omics data, and data integration as it relates to Systems Biology and Mathematical Modeling.
Network analysis, systems biology, community/module detection, high-throughput data, differential equations, mathematical modeling and graphical models.