Li-wei Lehman

Research Scientist, Institute for Medical Engineering and Science

Li-wei Lehman is a research scientist in the Laboratory for Computational Physiology at MIT’s Institute for Medical Engineering and Science. Her research focuses on the use of machine learning to derive insights from physiological and clinical data for informed treatment decision making. Her 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. She is a member of the National Institutes of Health project, Research Resource for Complex Physiologic Signals. Lehman earned a MS in computer science from Georgia Institute of Technology, and a PhD from MIT.

Selected Publications