Engineers turn the body’s goo into new glue
They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.
They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.
Professors Maria Yang and Kenneth Oye are honored as “Committed to Caring” for their mentorship of graduate students.
Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.
How the late Woodie Flowers helped create a new foundation for “the MIT way” of teaching.
Doug Field SM ’92, Ford’s chief of EVs and digital design, leads the legacy carmaker into the software-enabled, battery-propelled future.
Faculty members and additional MIT alumni are among 400 scientists and engineers recognized for outstanding leadership potential.
The company builds water recycling, treatment, and purification solutions for some of the world’s largest brands.
Projects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms creativity, education, and interaction in unexpected ways.
Findings reported by MIT researchers may have significant implications in material design.
Brooks is researching the impact of coastal pond breaching on preventing and mitigating harmful algal blooms, and will report to Naval Aviation Schools Command to begin flight training this fall.
Yutao Gong, Brandon Man, and Andrii Zahorodnii will spend 2025-26 at Tsinghua University in China studying global affairs.
The engineer and aspiring astronaut developed an outreach program at Lincoln Laboratory to help bring hands-on STEM activities to all.
MIT engineers designed a nanofiltration process that could make aluminum production more efficient while reducing hazardous waste.
GMAF’s second international cohort will comprise up to 10 early- to mid-career Palestinian scholars for a two-year pilot fellowship program at MIT.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.