University of Maryland

  • Ph.D. Candidate in Applied Mathematics and Scientific Computing
  • Advisor: Dr. Daniel Butts
  • Anticipated Graduation: May 2018

University of Oklahoma

  • B.Sc. in Physics, B.A. in Mathematics
  • May 2011

Scholarships and Awards

  • Center For Comparative and Evolutionary Biology of Hearing Pre-Doctoral Training Grant (Summer 2015 - Summer 2016)
  • Excellence in Teaching Award, University of Maryland Department of Mathematics (2013)
  • J. Clarence Karcher Scholarship, University of Oklahoma Department of Physics and Astronomy (Fall 2009 - Spring 2011)
  • National Merit Scholariship (Fall 2006 - Spring 2011)


  • Liu J, Whiteway MR, Butts DA and Kanold PO (2017). Spatial organization of the mouse auditory cortex to sound dynamics revealed using automated image segmentation. bioRxiv.

  • Whiteway MR and Butts DA (2016). Revealing unobserved factors underlying cortical activity using a rectified latent variable model applied to neural popoulation recordings. Journal of Neurophysiology, jn-00698.
    preprint | paper

  • Stout J, Whiteway M, Ott E, Girvan M and Antonsen TM (2011). Local synchronization in complex networks of coupled oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science, 21(2), 025109.


  • Lecturer
    Integral Calculus - Summer 2014
    Introductory Statistics - Spring 2013

  • Teaching Assistant
    Introductory Statistics - Spring 2015
    Multivariable Calculus - Spring 2014 & Fall 2014
    Linear Algebra - Fall 2013
    Integral Calculus - Fall 2012


  • Deep Generative Models for Understanding Natural Images (Spring 2017)
    Semester project with an undergraduate student that focused on understanding and implementing variational autoencoders and generative adversarial networks, including their conditional and convolutional variants.

  • An Introduction to Neural Networks for Image Classification (Fall 2016)
    Semester project with an undergraduate student that focused on the foundations of neural networks and how they can be applied to the problem of image classification.

  • Theory and Applications of the Generalized Linear Model for Regression (Summer 2015)
    Summer project with an undergraduate student that focused on the theoretical foundations of the generalized linear model, including linear regression, exponential families, maximum likelihood estimation, and iteratively re-weighted least squares.

  • Linear Programming and its Applications to Economics (Spring 2015)
    Semester project with an undergraduate student that focused on how to represent a linear optimization problem in the language of linear algebra, and the fundamentals of the Simplex Algorithm.