Faculty
Faculty

Faculty

Alumni/ae Artificial Intelligence Chemical engineering chemistry Computer science and technology Drug discovery Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Profile School of Engineering

Building AI models that understand chemical principles

Connor Coley works at the interface of chemistry and machine learning, to discover and design new drug compounds.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Education, teaching, academics Electrical engineering and computer science (EECS) Faculty Institute for Medical Engineering and Science (IMES) Leadership machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab School of Engineering

Justin Solomon appointed associate dean of engineering education

MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.

Artificial Intelligence Careers Classes and programs Climate Education, teaching, academics Energy Faculty Global Interview Labor and jobs Learning Manufacturing Massive open online courses (MOOCs) Office of Open Learning Online learning Staff

Q&A: Expanding MIT’s global reach through Universal Learning

Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.

Algorithms Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Faculty Game theory Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile School of Engineering

Games people — and machines — play: Untangling strategic reasoning to advance AI

Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.

Artificial Intelligence Astronomy and astrophysics Awards, honors and fellowships chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) Education, teaching, academics Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering School of Science

Jacob Andreas and Brett McGuire named Edgerton Award winners

The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.

Administration Artificial Intelligence Education, teaching, academics Ethics Faculty History History of MIT Human-computer interaction Interview MIT Schwarzman College of Computing Music technology Policy School of Engineering School of Humanities Arts and Social Sciences Technology and society

Q&A: MIT SHASS and the future of education in the age of AI

As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.

Artificial Intelligence Computer modeling Energy Faculty machine learning Nuclear power and reactors Nuclear science and engineering Profile Renewable energy School of Engineering Sustainability

Working to advance the nuclear renaissance

Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.

Artificial Intelligence Awards, honors and fellowships Business and management Data Faculty MIT Sloan School of Management Office of Open Learning Operations research Provost Special events and guest speakers

On algorithms, life, and learning

Operations research expert Dimitris Bertsimas delivered the annual Killian Lecture, providing a look at the past and future of his work.

Algorithms Artificial Intelligence Astronomy and astrophysics chemistry Computer science and technology Data Faculty IDSS Interview Laboratory for Nuclear Science machine learning Materials science and engineering Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Science

3 Questions: On the future of AI and the mathematical and physical sciences

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.

Artificial Intelligence Biology Cancer Computational biology DNA Evolution Faculty Genetics Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Koch Institute machine learning Medicine School of Science

3 Questions: Building predictive models to characterize tumor progression

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.