Jeremiah Johnson

Program Coordinator and Assistant Professor of Data Science

Analytics and Data Science, B.S.
Analytics Minor
Data Science Minor
UNH Manchester
Office 105


Jeremiah Johnson is an Assistant Professor of Data Science in the Department of Applied Engineering & Sciences.

Dr. Johnson is a machine learning researcher and mathematician specializing in neural networks and artificial intelligence. Dr. Johnson’s recent research spans a variety of application areas, including Bayesian modeling of water contamination, algorithmic style classification of fine art, automatic nucleus segmentation in microscopy images, and generative modeling techniques for structured prediction in computer vision. Dr. Johnson developed and now co-directs the Bachelor of Science in Analytics & Data Science, an innovative new program that offered on two campuses of the University of New Hampshire.

Dr. Johnson is an alumnus of the University of New Hampshire, earning his Ph.D in mathematics in 2010.


  • Machine learning
  • Predictive modeling
  • Data analysis
  • Computational topology
  • Deep learning
  • High performance computing


  • American Mathematical Society
  • Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD)


  • 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


  • NVIDIA GPU Education Center Grant, 2015

Speakers Bureau

Speaking Topics
  • Analytics
  • Data science
  • Data analysis
  • Data visualization
  • Statistics
  • Machine learning
  • Deep learning
  • Representation learning
  • Mathematics
  • High performance computing