• Academics
    • Who’s Teaching What
    • Subject Updates
    • IAP offerings
    • EECS Communication Lab
    • Undergraduate programs
      • Curriculum
      • MEng program
      • Opportunities
      • Minor in Computer Science
      • Resources for Current Students
      • Program objectives and accreditation
    • Graduate programs
      • Graduate program requirements
      • Admission process
      • Degree programs
      • Graduate research
      • EECS Graduate Funding
      • Resources for current students
      • Student profiles
  • Research
    • Electrical Engineering
    • Computer Science
    • Artificial Intelligence + Decision-making
    • Explore all research areas
      • AI and Society
      • AI for Healthcare and Life Sciences
      • Artificial Intelligence and Machine Learning
      • Biological and Medical Devices and Systems
      • Communications Systems
      • Computational Fabrication and Manufacturing
      • Computer Architecture
      • Educational Technology
      • Electronic, Magnetic, Optical and Quantum Materials and Devices
      • Energy
      • Graphics and Vision
      • Human-Computer Interaction
      • Information Science and Systems
      • Integrated Circuits and Systems
      • Nanoscale Materials, Devices, and Systems
      • Natural Language and Speech Processing
      • Optics + Photonics
      • Optimization and Game Theory
      • Programming Languages and Software Engineering
      • Quantum Computing, Communication, and Sensing
      • Robotics
      • Security and Cryptography
      • Signal Processing
      • Systems and Networking
      • Systems Theory, Control, and Autonomy
      • Theory of Computation
  • People
    • Leadership
    • Staff
    • Instructors
  • Community & Equity
    • Inclusive Excellence
      • Data and Documents
      • EECS Strategic Plan for Inclusive Excellence
      • Resources and Opportunities
    • Rising Stars in EECS
    • Graduate Application Assistance Program (GAAP)
    • MIT Summer Research Program (MSRP)
    • Thriving Stars at EECS
  • News & Events
    • News
    • Events
  • About
    • Departmental History
    • Departmental Organization
    • Visiting Committee
  • Contact
  • Engage
    • EECS Alliance
    • 6A Program
    • Alumni
    • Giving
    • Career Opportunities at EECS
    • Share opportunities with our students
MIT EECS Logo
MIT EECS
  • Electrical
    Engineering
  • Computer
    Science
  • Artificial Intelligence +
    Decision-making
  • Contact
  • Engage
    • EECS Alliance
    • 6A Program
    • Alumni
    • Giving
    • Career Opportunities at EECS
    • Share opportunities with our students
  • MENU
  • Academics
    • Who's Teaching What
    • Subject Updates
    • IAP Offerings
    • EECS Communication Lab
    • Undergraduate programs
    • Curriculum
    • MEng program
    • Opportunities
    • Minor in Computer Science
    • Resources for current students
    • Program objectives and accreditation
    • Graduate programs
    • Graduate program requirements
    • Admission process
    • Degree programs
    • Graduate research
    • Funding
    • Resources for current students
    • Materials and Forms for Graduate Students
    • Student profiles
  • Research
    • 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.

    • Computer Science

      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.

    • Artificial Intelligence + Decision-making

      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.

    • Explore all research areas
  • People
    • Faculty Directory
    • Leadership
    • Staff
    • Instructors
  • Community & Equity
    • Inclusive Excellence
    • About us
    • Data and documents
    • EECS Strategic Plan for Inclusive Excellence
    • Resources and Opportunities
    • Rising Stars in EECS
    • Graduate Application Assistance Program (GAAP)
    • MIT Summer Research Program (MSRP)
    • Thriving Stars
  • News & Events
    • News
    • Events
  • About
    • Departmental History
    • Departmental Organization
    • Visiting Committee
  • Home
  • People

Pablo Parrilo

  • People
  • Faculty
  • Faculty AI+D
  • Faculty CS
  • Faculty EE
  • Faculty Emeritus
  • Lecturers
  • Leadership
  • Staff
  • Instructors

Joseph F. and Nancy P. Keithley Professor in Electrical Engineering, [AI+D]

parrilo@mit.edu
(617) 324-1542
Office: 32-D726
Website
Research Areas
  • Artificial Intelligence + Machine Learning
  • Information Science and Systems
  • Optimization and Game Theory
  • Systems Theory, Control, and Autonomy
Back to top
MIT Electrical Engineering &
Computer Science Department
77 Massachusetts Ave.
Room 38-401
Cambridge, MA 02139
  • EECS INTERNAL RESOURCES
  • Admin Login
  • Accessibility
  • Linkedin
  • Facebook
  • Twitter

© 2025 Massachusetts Institute of Technology

MIT Schwarzman College of Computing MIT Schwarzman College of Computing
Electrical Engineering and Computer Science Electrical Engineering and Computer Science