Assistant Professor of Statistics
Ethan’s research focuses on creating methods for analyzing high-dimensional neural signals in order to understand the neural processing that underlies object recognition, working memory, and other cognitive processes. His teaching interests span a range of topics, including statistics, machine learning, data science, and computational neuroscience.