I received my PhD in Computational Neuroscience in 2018 from the University of Chicago. I am interested in how dynamic computations in the nervous system give rise to perception and action in real time, despite significant sensory and motor delays. In particular, I analyze the responses of retinal ganglion cells to moving stimuli using information theory, while, on the other hand, characterizing the statistics of motion in the natural world by applying computer vision techniques to video data.