Research Interests
Observational causal inference, counterfactual reasoning, variational inference, adversarial learning, generative modeling, natural language processing (NLP), graph neural networks, Bayesian methods, rare-event modeling, optimal transport, representation learning, reproducing kernel Hilbert space methods, survival analysis, dynamical systems, nonlinear association, sufficient dimension reduction, statistical learning, data assimilation, brain imaging, imaging-genetics, deep learning, etc.