His principal research interests lie in the development of machine learning and statistical methodology, spanning Bayesian inference, kernel methods, generative models, spectral methods, etc. The developed methods have been applied to scenarios such as language modeling, PDE solving, image generation, semi-/self-/un-supervised learning, uncertainty quantification, trustworthy ML, and MLSys.