Research > Statistics & Machine Learning

Machine Learning & Vision


How can a computer learn to diagnose cancer? How can a robotic assistant learn to adapt to the specific habits of their owners? Machine learning is the study of how computers can learn complex concepts from data and experience, and seeks to answer the fundamental research questions underpinning the challenges outlined above.

Machine learning is a core area in CMS, and has strong connections to virtually all areas of the information sciences. We are particularly interested in pursuing emerging connections between machine learning and other disciplines, which we believe will stimulate the development of the next generation of machine learning methods and technologies.


Aaron Ames, Yaser Abu-Mostafa, Venkat Chandrasekaran, Frederick Eberhardt, Katrina Ligett, Lior Patcher, Pietro Perona, Andrew Stuart, Joel Tropp, Yisong Yue

Related research groups & Centers > CDS, CD3, Center for Data Science and Technology, CMI, CNS, DOLCIT, RSRG

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