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- Electrical Engineering
  
  Electrical Engineers design systems that sense, process, and transmit energy and information. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.
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  Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.
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  Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.
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Caroline Uhler

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Andrew (1956) and Erna Viterbi Professor of Engineering; Professor of EECS and in IDSS, [AI+D]

(617) 253-4181

Office: 32-D634

Research Areas

AI for Healthcare and Life Sciences
Artificial Intelligence + Machine Learning

Latest News

Department of EECS names new chair recipients

The new chairs became effective July 1.

AI model identifies certain breast tumor stages likely to progress to invasive cancer

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

Machine learning and the microscope

PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.

Caroline Uhler named IMS Fellow

The Institute of Mathematical Statistics (IMS) fosters the development and dissemination of the theory and applications of statistics and probability.

Student Spotlight: Victory Yinka-Banjo

Victory Yinka-Banjo is a junior majoring in 6-7: Computer Science and Molecular Biology.

MIT Electrical Engineering &
Computer Science Department

77 Massachusetts Ave.
Room 38-401
Cambridge, MA 02139

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