Katherine Doxey

Katherine Doxey is a graduate student in applied mathematics, specializing in computational neuroscience with a focus in single-cell and large-scale modeling. She graduated with a Bachelor of Science in computer science with a minor in mathematics in 2018 and a Bachelor of Science in applied mathematics in 2021 from Arizona State University. She began her Ph.D in applied mathematics in the fall of 2021. She completed her comprehensive exams in numerical methods for partial differential equations and mathematical neuroscience.

Katherine is currently working on her thesis project studying the dynamics of input frequency on neurons in the auditory cortex and networks in the dorsal cochlear nucleus. She is utilizing the Python package “NetPyNE” and simulation environment “NEURON”.

As a graduate teaching assistant, Katherine has graded and tutored for a range of courses, including applied partial differential equations, data analysis in neuroscience, mathematical structures, MATLAB for differential equations, and partial differential equations. She has also contributed to the development of content of Jupyter notebooks covering Python basics, data visualization, processing, and analysis techniques, and machine learning methods.