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  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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  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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Daniel Jackson

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Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science, [CS]

dnj@csail.mit.edu

(617) 258-8471

Office: 32-G704

Research Areas

Human-Computer Interaction
Programming Languages and Software Engineering
Systems and Networking

Latest News

November 12, 2025

MIT researchers propose a new model for legible, modular software

The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.

A new resource for teaching responsible technology development

The Social and Ethical Responsibilities of Computing publishes a collection of original pedagogical materials developed for instructional use on MIT OpenCourseWare.

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