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.
Whiteway MR, Bartolo R, Averbeck BB and Butts DA.
Unsupervised nonlinear dimensionality reduction of large-scale neural recordings
in prefrontal cortex. Society for Neuroscience, Washington, D.C.,
Liu J, Whiteway MR, Butts DA and Kanold PO.
Differential organization of the mouse auditory cortex to tone onset and offset
revealed using automated image segmentation. Society for Neuroscience,
Washington, D.C., November 2017
Whiteway MR, Socha K, Bonin V and Butts DA.
Nonlinear latent variable approaches for understanding population activity in
sensory cortex. Computational and Systems Neuroscience (Cosyne), Salt Lake City,
UT, February 2017
Butts DA, Perrin GE, Cui Y, Whiteway MR, Demb J and Singer J.
Characterizing nonlinear neuronal computation within a single stage of
processing. Computational and Systems Neuroscience (Cosyne), Salt Lake City,
UT, February 2017
Whiteway MR and Butts DA.
Hidden sources of variability modulate populations of sensory neurons.
Society for Neuroscience, San Diego, CA, November 2016
Stout J, Whiteway M, Ott E, Girvan M and Antonsen TM.
The effect of network structure on the path to synchronization in large systems
of coupled oscillators.
SIAM Conference on Applications of Dynamical Systems, Snowbird, UT,
Integral Calculus - Summer 2014
Introductory Statistics - Spring 2013
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.