My broad research interests include statistical learning theory, causal inference, nonparametric statistics, and unsupervised learning. My recent work focuses on integrating deep learning and causality, latent variable modeling, representation learning, and foundational aspects of nonparametric inference with an eye towards machine learning applications. This work has many applications in biology and medicine, economics and finance, marketing and advertising, etc.

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