J.T. Fry

J.T. Fry

Assistant Professor of Mathematics
Statistics, predictive modeling, and data visualization
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Educational Background:

  • Ph.D. in Statistics, Virginia Tech
  • M.S. in Statistics, Virginia Tech
  • B.S. in Mathematics,  Grove City College

Research interests:

  • Data visualization
  • Bayesian methodology
  • Spatial statistics
  • Machine Learning

Select publications:

Dowling, M., Wenskovitch, J., Fry J.T., House, L., North, C. Sirius: Dual, symmetric, interactive dimension reductions. IEEE Transactions on Visualization and Computer Graphics (2018).

Fry, J. T., Slifko, M., Leman S. (2018). “Generalized biplots for stress-based multidimensional scaled projections.” Computational Statistics and Data Analysis (2018).

Fry, J. T., Hoegh, A., Leman, S., & Montesano, M. (2017). “A Bayesian hierarchical model for estimating the cost of postponing the cyclo-cross national championships.” Journal of Applied Statistics, 1-8.