Rachael Hageman Blair
PhD
Associate Director for Education
Associate Professor
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.
Summary
Rachael Hageman Blair, PhD, is an Associate Professor in the Department of Biostatistics at the University at Buffalo and Associate Director for Education in UB’s Institute for Artificial Intelligence and Data Science. She received her PhD in Mathematics from Case Western Reserve University and completed postdoctoral training in statistical genetics at The Jackson Laboratory.
Her research lies at the intersection of biostatistics, machine learning, network science, and computational biology. She develops and applies statistical and computational methods for high-dimensional and complex data, with interests in network analysis, clustering and stability, probabilistic graphical models, integrative omics, and systems biology. Her collaborative research spans applications in genomics, metabolomics, environmental health, cardiovascular disease, and other areas of biomedical and public health research. In addition to her research, she is active in artificial intelligence and data science education, leading interdisciplinary graduate education initiatives and contributing to university-wide efforts to responsibly integrate AI into teaching and learning.
Education and Training
- Postdoctoral Associate, The Jackson Laboratory, 2007-2011
- PhD, mathematics, Case Western Reserve University, 2007
- MS, mathematics, Case Western Reserve University, 2006
- BS, mathematics, SUNY Fredonia, 2002
Specializations
Biostatistics, machine learning, network analysis, probabilistic graphical models, clustering and stability analysis, high-dimensional data, integrative omics, systems biology, and computational biology.