Research Interests: 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. Hageman Blair's postdoctoral training was in statistical genetics at the Jackson Laboratory. The focus of her research was in methodology development for genotype-phenotype inference with applications to complex traits in mouse genetics. In addition to her methodological research, she has a number of collaborative publications, which involve the application of bioinformatics and data mining techniques to analyze high-throughput data. Her primary research interests center around modeling complex social and biological systems.