My own research interests span artificial intelligence, machine learning and computational neuroscience.

As a PhD student at the Center for Theoretical Neuroscience at Columbia, I worked on algorithms for analyzing and understanding high-dimensional data from neural recordings with Liam Paninski and nonparametric Bayesian methods for predicting time series data with Frank Wood.

Current research interests include applications of machine learning to computational physics and connections between group theory and "disentangling" in unsupervised learning.