News

Reframing the first-generation academic experience

Reframing the first-generation academic experience

First-gen MIT graduate students are claiming their identity, forming community, and holding space for one another.

Two from MIT named 2023 Marshall Scholars

Two from MIT named 2023 Marshall Scholars

Rachel Chae and Sihao Huang ’22 will pursue graduate studies in the United Kingdom.

Mark Rober to deliver MIT’s 2023 Commencement address

Mark Rober to deliver MIT’s 2023 Commencement address

The popular YouTuber, engineer, and inventor works to engage young people in science and technology while encouraging curiosity and resilience.

Holding space for tough topics

Holding space for tough topics

Michael Birnbaum has been recognized as Committed to Caring for his wide-reaching support of students and his departmental leadership.

Educating future naval leaders

Educating future naval leaders

In class 2.702 (Systems Engineering and Naval Ship Design), naval officers and other graduate students get hands-on experience in project management skills that will be central to their future careers.

Meet the 2022-23 Accenture Fellows

Meet the 2022-23 Accenture Fellows

This year’s fellows will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations.

Three MIT seniors win 2024 Schwarzman Scholarships

Three MIT seniors win 2024 Schwarzman Scholarships

Sara V. Fernandez, Amanda Hu, and Brigette Wang will spend the 2023-24 academic year at Tsinghua University in China studying global affairs.

MacGregor House gains a well-being graduate resident advisor

MacGregor House gains a well-being graduate resident advisor

Advisor engages students, builds community, and promotes well-being and health.

Ushering in a new era of computing

Ushering in a new era of computing

Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.

The task of magnetic classification suddenly looks easier

The task of magnetic classification suddenly looks easier

MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.