Dealing with the limitations of our noisy world
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.
The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.
Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.
Abel Sanchez helps industries and executives shift their operations in order to make sense of their data and use it to help their bottom lines.
Cindy Alejandra Heredia’s journey from Laredo, Texas, took her to leading the MIT autonomous vehicle team and to an MBA from MIT Sloan.
Senior Ananya Gurumurthy adds her musical talents to her math and computer science studies to advocate using data for social change.