We work on a variety of topics spanning theoretical foundations, algorithms, and applications.

We study a range of research areas related to machine learning and their applications for robotics, health care, language processing, information retrieval and more. Among these subjects include precision medicine, motion planning, computer vision, Bayesian inference, graphical models, statistical inference and estimation. Our work is interdisciplinary and deeply rooted in systems and computer science theory.

Many of our researchers have affiliations with other groups at MIT, including the Institute for Medical Engineering & Science (IMES) and the Institute for Data, Systems and Society (IDSS).

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