Program Coordinator and Assistant Professor of Data Science
Jeremiah Johnson is a data scientist with a background in mathematics and computer algebra. He is an expert predictive modeler, and conducts research into large-scale machine learning and deep learning. Jeremiah instructs courses in mathematics, statistics, and analytics at both the Bachelor and the Master level. Many of the courses Jeremiah teaches are part of the Analytics Bachelor of Science program at the University of New Hampshire - Manchester, an innovative, forward-thinking program that he designed and implemented. The Analytics program at UNH Manchester is one of only a handful of Bachelor-level analytics programs in the nation. Fundamentally, Jeremiah believe in scientific, data-driven decision-making and is passionate about encouraging the scientific approach to almost every endeavor.
Weight Ideals Associated to Regular and Log-Linear Arrays, Journal of Symbolic Computation, vol. 67, pp. 1-15, March-April 2015.
The Number of Group Homomorphisms from Dm into Dn, The College Mathematics Journal, vol. 43 no. 3, May 2013.
Admissible Orders on Quotients of the Free Associative Algebra, Doctoral Dissertation, University of New Hampshire, May 2010
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