3296 search results found

  • Eduardo
    A M
    Kausel

    Professor of Civil and Environmental Engineering, Emeritus
    Primary DLC
    Department of Civil and Environmental Engineering

    Contact

    1-271
    (617) 253-5336
    kausel@mit.edu

    Assistant

    Jeanette Marchocki
    (617) 253-7106
    jmmarch@mit.edu

  • Moshe
    E
    Ben-Akiva

    Edmund K Turner Professor in Civil Engineering
    Primary DLC
    Department of Civil and Environmental Engineering

    Contact

    1-175
    (617) 253-5324
    mba@mit.edu

    Assistant

    Eunice Kim
    (617) 253-9729
    kimeu@mit.edu

  • Pablo
    A
    Parrilo

    Joseph F and Nancy P Keithley Professor of Electrical Engineering
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    32-D724
    (617) 324-1542
    parrilo@mit.edu

  • Michael
    B
    McIlrath

    Research Scientist
    Primary DLC
    Microsystems Technology Laboratories

    Contact

    26-157A
    (617) 253-4183
    mbm@mit.edu

  • Michael
    W
    Golay

    Professor of Nuclear Science and Engineering, Emeritus
    Primary DLC
    Department of Nuclear Science and Engineering

    Contact

    24-223
    (617) 253-5824
    golay@mit.edu

  • Chuchu
    Fan

    Leonardo Career Development Associate Professor in Engineering
    Primary DLC
    Department of Aeronautics and Astronautics

    Contact

    31-315
    (617) 253-8823
    chuchu@mit.edu

    Assistant

    Quentin Alexander
    (617) 253-6270
    qla@mit.edu

  • Yossi
    Sheffi

    Elisha Gray II Professor of Civil and Environmental Engineering
    Primary DLC
    Center for Transportation and Logistics

    Contact

    E40-259
    (617) 253-5316
    sheffi@mit.edu

  • 10.12.23-AI-Driven-Pentelute

    October 12, 2023Conference Video Duration: 31:11
    We're facing a challenge in the world of chemistry: our lack of data is slowing down how we can use clever computer programs, known as machine learning, to create powerful new medicines. In this piece, I'll walk you through what we're doing to solve this problem by creating data highways from millions of small molecules, peptides and small proteins. We are now able to use machine learning to discover and create new functional molecules quickly. Sometimes, these computer-designed molecules are even better than what we can make ourselves! Our next step is to create an infinite loop where we automatically design, build, and test potential new medicines.

  • 04.10-11.24-HST-Xiao-Wang

    April 10, 2024Conference Video Duration: 34:38

    Translating Spatial RNA Atlas to Tissue Function and Dysfunction

  • Jonathan
    Adam
    Kelner

    Professor of Applied Mathematics
    Primary DLC
    Department of Mathematics

    Contact

    2-344
    (617) 253-4344
    kelner@mit.edu