Biography: M. Ross Kunz is statistician for Idaho National Laboratory, developing high-dimensional data visualization in 2D and 3D environments, performing statistical analysis developing new high-dimensional statistical techniques in high performance computing environments. He has developed a 3-D visualization framework that allows emergency planners to simulate responses to various safety and security scenarios. He is also a leader in visualization of multidimensional electric vehicle charging behavior data. His visualization has been presented at the White House and is now being used by federal, state and municipal leaders to plan for expanded use of electric vehicles. He holds a master’s in statistics from Florida State University and a bachelor’s in statistics from Idaho State University. Before joining INL in January 2015 he was a statistician for Michelin of North America.
M.S., Statistics - Florida State University
B.S., Statistics - Idaho State University
Zhang, She and Kunz, Sparse Generalized PCA for Selectable High-Dimensional Analysis, " Joint Statistical Meeting, 2015.
Kunz et al., Multivariate Calibration Maintenance and Transfer through Robust Fused Lasso," J. of Chemom., 2013.
Kunz et al., Updating a Synchronous Fluorescence Spectroscopic Virgin Olive Oil Adulteration Calibration to a new Geographical Region," J. of Agric. Food Chem., 2011.
Kunz et al., Model Updating for Spectral Calibration Maintenance and Transfer Using 1Norm Variants of Tikhonov Regularization," Ann. Chem., 2010.
Kunz et al., Impact of Standardization Sample Design on Tikhonov Regularization Variants for Spectroscopic Calibration Maintenance and Transfer," J. of Chemom., 2010.