The language of change
Preparing for a career advancing the science and policy of climate issues, junior Ryan Conti focuses on math, computer science, and the philosophy of language.
Preparing for a career advancing the science and policy of climate issues, junior Ryan Conti focuses on math, computer science, and the philosophy of language.
PhD student Ying Gao's research reveals that the urban poor in the developing world are politically engaged and capable of effecting change.
The PhD candidate studies the human microbiome and its proteins, while also championing the Latinx community on MIT’s campus.
New research by political science PhD candidate Meicen Sun illuminates the broad economic and political impacts of internet restrictions.
PhD student Limiao Zhang sees surprising connections between the behavior of cars and bubbles.
Themistoklis Sapsis tackles engineering problems associated with the unpredictable ocean environment and its effects on ships and other structures.
Political science PhD student Emilia Simison has found that despotic regimes vary, and the move to democracy doesn’t necessarily guarantee policy change.
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
MIT engineer oversees design and testing of key magnet components for the Institute's SPARC fusion project.
During six months at an orphanage in Haiti, senior Eli Brooks introduced children to engineering product design, and uncovered a passion for teaching and life.
To mitigate natural hazards equitably, PhD candidate Ipek Bensu Manav of the MIT CSHub is incorporating social vulnerability into resilience engineering and hazard recovery.
Obiageli Nwodoh ’21 repurposed her STEM skills to pave a pre-law path at MIT and pursue social justice.
The PhD student uses machine learning as a tool for studying pain and consciousness — and as subject matter for her popular videos.
Through a summer research program at MIT, Patricia Pujols explored the neuromuscular junction, and a future in science.
PhD student Madhumitha Ravichandran identifies the three main factors that trigger the boiling crisis through machine learning models.