Experience
Education
Bio
Research interests:
A central theme of my research focuses on four principles of statistics, machine learning, and data science:
Heterogeneity (Bayesian nonparametrics, mixture and hierarchical models)
Interpretability (model misspecification, deep generative models, convolutional neural networks)
Stability (robust statistics, (non)-convex optimization in statistical settings)
Scalability (computational optimal transport, sampling and variational inference, distributed computing)