Home People Tommi Jaakkola People FacultyFaculty AI+DFaculty CSFaculty EEFaculty EmeritusLecturers Leadership Staff Instructors Thomas M. Siebel Distinguished Professor in EECS and in IDSS, [AI+D] firstname.lastname@example.org (617) 253-0440 Office: 32-G498 Website Research Areas AI for Healthcare and Life SciencesArtificial Intelligence + Machine LearningNatural Language and Speech Processing Latest News More News July 15, 2022 Artificial intelligence model finds potential drug molecules a thousand times faster A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures. January 12, 2022 Physics and the machine-learning “black box” In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions. December 6, 2019 Restructuring EECS The Institute's largest academic department reorganizes with new leadership as part of the formation of the MIT Schwarzman College of Computing. Clockwise from top left: Asu Ozdaglar, Joel Voldman, Arvind, and Antonio Torralba. June 26, 2019 Roundup: EECS faculty awards, prizes, fellowships, and other honors, 2018-2019 Constantinos Daskalakis and Vivienne Sze were among more than 40 EECS faculty members honored for excellence over the past academic year. June 25, 2019 Machine learning for everyone A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.