My research focuses on the use of machine learning to derive insights from physiological and clinical data for informed treatment decision making. My interests include representation learning, structure discovery, generative probabilistic models, switching state-space models, Bayesian non-parametric learning of disease phenotypes, and more recently, off-policy reinforcement learning and causal inference.