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.
Selected Publications
- Liu T, Yu H, Hageman Blair R. Stability-based partitions for ensemble clustering. Journal of Applied Statistics. Accepted, in production.
- Krishnan K, Shi T, Kumar S, Yu H, Hageman Blair R. (2026). Network optimal retrieval of sparse perturbations for steady-state control. Pacific Symposium on Biocomputing, 31:784–798. doi: 10.1142/9789819824755_0057.
- Narayanan A, Muldoon S, Jehrio M, Hageman Blair R. (2025). Informing pandemic intervention strategies through coupled contact tracing and network node prioritization. PLOS Complex Systems, 2(6):e0000041. doi: 10.1371/journal.pcsy.0000041.
- Shi T, Yu H, Hageman Blair R. (2023). Integrated regulatory and metabolic networks of the tumor microenvironment for therapeutic target prioritization. Statistical Applications in Genetics and Molecular Biology, 22(1). doi: 10.1515/sagmb-2022-0054.
- Liu T, Yu H, Hageman Blair R. (2022). Out-of-bag stability estimation for k-means clustering. Statistical Analysis and Data Mining, 15(6):781–796. doi: 10.1002/sam.11593.
- Liu T, Yu H, Hageman Blair R. (2022). Stability estimation for unsupervised clustering: A review. Wiley Interdisciplinary Reviews: Computational Statistics, 14(6):e1575. doi: 10.1002/wics.1575.
- Yu H, Moharil J, Hageman Blair R. (2020). BayesNetBP: An R package for probabilistic reasoning in Bayesian networks. Journal of Statistical Software, 94(3). doi: 10.18637/jss.v094.i03.
- Yu H, Hageman Blair R. (2019). Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer’s disease. BMC Bioinformatics, 20:386. doi: 10.1186/s12859-019-2872-8.
- Hageman Blair R, Kliebenstein DJ, Churchill GA. (2012). What can causal networks tell us about metabolic pathways? PLOS Computational Biology, 8(4):e1002458. doi: 10.1371/journal.pcbi.1002458.