Eddie Cunningham

My research sits at the intersection of differential geometry, generative modeling, and representation learning. I am interested in characterizing the geometric structure of data in order to understand how to build better representations of data and interpretable generative models. My other research interests include diffusion based time series modeling and sampling using normalizing flows or stochastic optimal control based methods.