I am a postdoc in Adrienne Fairhall's lab at the University of Washington, Seattle. I received my PhD in neuroscience from the University of Texas at Austin in 2015 where I was supervised by Jonathan Pillow and Alex Huk. I am interested in developing statistical methods to explore how neurons encode information into spike trains. I received my BS in Computer Science from CU Boulder in 2010.
Projects & Research Interests
Adaption in Cortex
A primary focus of my research is to determine how neurons in primary sensory regions adapt their responses to changes in stimulus statistics. I aim to quantitatively characterize adaptation at the levels of single cells and populations. This project encompasses adaption in multiple sensory modalities to determine if sensory regions in cortex exhibit similar adaptive computations.
Coding in the Early Visual System
How do the distinct tunings of excitatory and inhibitory inputs to retinal ganglion cells interact to encode visual stimuli? My approach to this problem applies extensions of the Generalized Linear Model (GLM) to intra and extracellular recordings of RGCs during visual stimulation.
Neural Dynamics of Perceptual Decisions
In collaboration with Jacob Yates, I have been applying Bayesian model comparison techniques to explore how the neural dynamics in area LIP relate to the formation of perceptual decisions. Currently, we are interested in applying our latent variable methods to population recordings.