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Andrea Mack


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Andrea Mack is a Statistician in the Human Factors, Controls, and Statistics Department. At INL her work has ranged from experimental design, sample size calculations, simulation studies, generalized linear modeling, and hierarchical regression modeling. Application areas have ranged from biofuel processing, fuel qualification, graphite characterization, cyber-security, and robotic detection. She graduated in 2017 from Montana State University with a Master's in Statistics, with a focus in Bayesian spatial prediction for point reference data. During her graduate degree she gained experience in statistical consulting and teaching. Following her degree she analyzed a large telematics data set provided by Volvo at the National Renewable Energy Laboratory.


​M.S., Statistics - Montana State University

B.S., Mathematics - Montana State University


​American Statistical Association
National Educators’ Association


​Peterson, D. M., Bowman, J.G.P, Endecott, R.L., Mack, A.L., and Meccage, E.C.G. 2018. "The effects of feeding reduced-lignin alfalfa on growing beef cattle  performance: A preliminary study," Journal of Agricultural Studies.


Lammert, M., Bugbee, B., Hou, Y., Mack, A. et al. 2018. "Exploring Telematics Big Data for Truck Platooning Opportunities," SAE Technical Paper 2018-01-1083,

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Created at 5/14/2018 1:41 PM by Phyllis L. King
Last modified at 5/14/2018 4:31 PM by Phyllis L. King